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  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/hamzafarooq/pycaret/blob/master/TimeSeries_Forecasting.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KKRvdotGoCVs",
        "colab_type": "text"
      },
      "source": [
        "#Data Set Overivew\n",
        "\n",
        "The tutorial uses the [Iowa Liquor Retails Sales](https://console.cloud.google.com/marketplace/details/iowa-department-of-commerce/iowa-liquor-sales). We will be using the dataset to predict future sales for one of the stores\n",
        "\n",
        "This dataset contains every wholesale purchase of liquor in the State of Iowa by retailers for sale to individuals since January 1, 2012. \n",
        "\n",
        "The State of Iowa controls the wholesale distribution of liquor intended for retail sale, which means this dataset offers a complete view of retail liquor sales in the entire state. The dataset contains every wholesale order of liquor by all grocery stores, liquor stores, convenience stores, etc., with details about the store and location, the exact liquor brand and size, and the number of bottles ordered."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oxappFRWR6qm",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        },
        "outputId": "014a4b8e-162f-4ef2-8ea2-adf75fafc0a1"
      },
      "source": [
        "#importing necessary packages\n",
        "\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from datetime import datetime\n",
        "import statsmodels.api as sm\n",
        "import numpy as np \n",
        "import xgboost as xgb\n",
        "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
        "import imageio\n",
        "import os\n",
        "from statsmodels.graphics.tsaplots import plot_acf\n",
        "\n"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MI44fdd8Jtt5",
        "colab_type": "text"
      },
      "source": [
        "# Reading Data\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zp4xNDv3o5wy",
        "colab_type": "text"
      },
      "source": [
        "## Using GCP and Biq Query\n",
        "To setup a project on Google Cloud Platform and use Big Query go to: http://console.cloud.google.com\n",
        "\n",
        "You can also watch my tutorial here: https://www.youtube.com/watch?v=m5qQ5GLmcZs"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UnJynIZ72ypg",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "054666ca-31f3-4591-c022-dc82b3d68663"
      },
      "source": [
        "from google.colab import auth\n",
        "auth.authenticate_user()\n",
        "print('Authenticated')\n",
        "\n"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Authenticated\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cMa6SVLgp9wD",
        "colab_type": "text"
      },
      "source": [
        "## Pulling data for one store. \n",
        "This dataset has quite a few dimensions, however, we will focus on just part for now which is just one store and for sales that have occured after 1st Jan 2018"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qeVGiMch8Wnb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%%bigquery --project bold-sorter-281506 df2  # bold-sorter-281506 df2 is the project id ; df2 is the dataframe name\n",
        "SELECT *\n",
        "FROM `bigquery-public-data.iowa_liquor_sales.sales`\n",
        "where store_number  = '2633'\n",
        "and date > '2018-01-01'"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W3hSsmL0qOsj",
        "colab_type": "text"
      },
      "source": [
        "## Using a direct link\n",
        "A version of this dataset is also saved on my google drive. We can use it to pull the dataset\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jCqoAXcjISWe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "\n",
        "url = 'https://drive.google.com/file/d/1g3UG_SWLEqn4rMuYCpTHqPlF0vnIDRDB/view?usp=sharing'\n",
        "path = 'https://drive.google.com/uc?export=download&id='+url.split('/')[-2]\n",
        "df2 = pd.read_csv(path)"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dMhpB4RxIp7i",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 37
        },
        "outputId": "212b9ba2-d2aa-4518-b853-b9dc18ed74bd"
      },
      "source": [
        "path #save this path, just in case"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'https://drive.google.com/uc?export=download&id=1g3UG_SWLEqn4rMuYCpTHqPlF0vnIDRDB'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9js2qCkSq5Dd",
        "colab_type": "text"
      },
      "source": [
        "# Data Overview"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sUNtTaXH_zod",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "outputId": "53af867d-3d65-4bdf-909f-7ef50ff396ee"
      },
      "source": [
        "df2.head(5)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>invoice_and_item_number</th>\n",
              "      <th>date</th>\n",
              "      <th>store_number</th>\n",
              "      <th>store_name</th>\n",
              "      <th>address</th>\n",
              "      <th>city</th>\n",
              "      <th>zip_code</th>\n",
              "      <th>store_location</th>\n",
              "      <th>county_number</th>\n",
              "      <th>county</th>\n",
              "      <th>category</th>\n",
              "      <th>category_name</th>\n",
              "      <th>vendor_number</th>\n",
              "      <th>vendor_name</th>\n",
              "      <th>item_number</th>\n",
              "      <th>item_description</th>\n",
              "      <th>pack</th>\n",
              "      <th>bottle_volume_ml</th>\n",
              "      <th>state_bottle_cost</th>\n",
              "      <th>state_bottle_retail</th>\n",
              "      <th>bottles_sold</th>\n",
              "      <th>sale_dollars</th>\n",
              "      <th>volume_sold_liters</th>\n",
              "      <th>volume_sold_gallons</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>INV-19309700006</td>\n",
              "      <td>2019-05-13</td>\n",
              "      <td>2633</td>\n",
              "      <td>Hy-Vee #3 / BDI / Des Moines</td>\n",
              "      <td>3221 SE 14th St</td>\n",
              "      <td>Des Moines</td>\n",
              "      <td>50320</td>\n",
              "      <td>POINT (-93.596754 41.554101)</td>\n",
              "      <td>77</td>\n",
              "      <td>POLK</td>\n",
              "      <td>1012300.0</td>\n",
              "      <td>Single Malt Scotch</td>\n",
              "      <td>266</td>\n",
              "      <td>Edrington Group USA LLC</td>\n",
              "      <td>5486</td>\n",
              "      <td>Macallan 12 Yr Single Malt Scotch</td>\n",
              "      <td>12</td>\n",
              "      <td>750</td>\n",
              "      <td>34.99</td>\n",
              "      <td>52.49</td>\n",
              "      <td>84</td>\n",
              "      <td>4409.16</td>\n",
              "      <td>63.0</td>\n",
              "      <td>16.64</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>INV-15347200002</td>\n",
              "      <td>2018-10-29</td>\n",
              "      <td>2633</td>\n",
              "      <td>Hy-Vee #3 / BDI / Des Moines</td>\n",
              "      <td>3221 SE 14th St</td>\n",
              "      <td>Des Moines</td>\n",
              "      <td>50320</td>\n",
              "      <td>POINT (-93.596754 41.554101)</td>\n",
              "      <td>77</td>\n",
              "      <td>POLK</td>\n",
              "      <td>1011600.0</td>\n",
              "      <td>Straight Rye Whiskies</td>\n",
              "      <td>214</td>\n",
              "      <td>GoAmericaGo Beverages LLC</td>\n",
              "      <td>27145</td>\n",
              "      <td>WhistlePig Old World 12YR</td>\n",
              "      <td>6</td>\n",
              "      <td>750</td>\n",
              "      <td>64.17</td>\n",
              "      <td>96.26</td>\n",
              "      <td>30</td>\n",
              "      <td>2887.80</td>\n",
              "      <td>22.5</td>\n",
              "      <td>5.94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>INV-11117400006</td>\n",
              "      <td>2018-03-26</td>\n",
              "      <td>2633</td>\n",
              "      <td>Hy-Vee #3 / BDI / Des Moines</td>\n",
              "      <td>3221 SE 14th St</td>\n",
              "      <td>Des Moines</td>\n",
              "      <td>50320</td>\n",
              "      <td>POINT (-93.596754 41.554101)</td>\n",
              "      <td>77</td>\n",
              "      <td>POLK</td>\n",
              "      <td>1901200.0</td>\n",
              "      <td>Special Order Items</td>\n",
              "      <td>459</td>\n",
              "      <td>SURVILLE ENTERPRISES CORP</td>\n",
              "      <td>904955</td>\n",
              "      <td>1921 Tequila Reposado</td>\n",
              "      <td>6</td>\n",
              "      <td>750</td>\n",
              "      <td>26.50</td>\n",
              "      <td>39.75</td>\n",
              "      <td>12</td>\n",
              "      <td>477.00</td>\n",
              "      <td>9.0</td>\n",
              "      <td>2.38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>INV-10206700012</td>\n",
              "      <td>2018-02-05</td>\n",
              "      <td>2633</td>\n",
              "      <td>Hy-Vee #3 / BDI / Des Moines</td>\n",
              "      <td>3221 SE 14th St</td>\n",
              "      <td>Des Moines</td>\n",
              "      <td>50320</td>\n",
              "      <td>POINT (-93.596754 41.554101)</td>\n",
              "      <td>77</td>\n",
              "      <td>POLK</td>\n",
              "      <td>1012300.0</td>\n",
              "      <td>Single Malt Scotch</td>\n",
              "      <td>266</td>\n",
              "      <td>Edrington Group USA LLC</td>\n",
              "      <td>5486</td>\n",
              "      <td>Macallan 12 Yr Single Malt Scotch</td>\n",
              "      <td>12</td>\n",
              "      <td>750</td>\n",
              "      <td>34.99</td>\n",
              "      <td>52.49</td>\n",
              "      <td>12</td>\n",
              "      <td>566.88</td>\n",
              "      <td>9.0</td>\n",
              "      <td>2.38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>INV-11743500040</td>\n",
              "      <td>2018-04-26</td>\n",
              "      <td>2633</td>\n",
              "      <td>Hy-Vee #3 / BDI / Des Moines</td>\n",
              "      <td>3221 SE 14th St</td>\n",
              "      <td>Des Moines</td>\n",
              "      <td>50320</td>\n",
              "      <td>POINT (-93.596754 41.554101)</td>\n",
              "      <td>77</td>\n",
              "      <td>POLK</td>\n",
              "      <td>1011600.0</td>\n",
              "      <td>Straight Rye Whiskies</td>\n",
              "      <td>306</td>\n",
              "      <td>MISSISSIPPI RIVER DISTIL</td>\n",
              "      <td>27027</td>\n",
              "      <td>Cody Road Rye</td>\n",
              "      <td>6</td>\n",
              "      <td>750</td>\n",
              "      <td>19.17</td>\n",
              "      <td>28.76</td>\n",
              "      <td>6</td>\n",
              "      <td>172.56</td>\n",
              "      <td>4.5</td>\n",
              "      <td>1.19</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  invoice_and_item_number        date  ...  volume_sold_liters volume_sold_gallons\n",
              "0         INV-19309700006  2019-05-13  ...                63.0               16.64\n",
              "1         INV-15347200002  2018-10-29  ...                22.5                5.94\n",
              "2         INV-11117400006  2018-03-26  ...                 9.0                2.38\n",
              "3         INV-10206700012  2018-02-05  ...                 9.0                2.38\n",
              "4         INV-11743500040  2018-04-26  ...                 4.5                1.19\n",
              "\n",
              "[5 rows x 24 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mpDyU--L3Wxb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df2_ds = df2[['date','sale_dollars']] # selecting the needed columns\n"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H0pw8xouAEPo",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df2_ds=df2_ds.sort_index(axis=0)"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YbKw9JvyCjJn",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "3a7ac0f0-b7b0-4de5-fd2f-7fe21145526b"
      },
      "source": [
        "df2_ds.tail(5)"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>sale_dollars</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>50522</th>\n",
              "      <td>2019-12-09</td>\n",
              "      <td>1379.88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50523</th>\n",
              "      <td>2019-11-25</td>\n",
              "      <td>148.50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50524</th>\n",
              "      <td>2019-10-24</td>\n",
              "      <td>119.28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50525</th>\n",
              "      <td>2019-10-17</td>\n",
              "      <td>119.28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50526</th>\n",
              "      <td>2019-10-21</td>\n",
              "      <td>279.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             date  sale_dollars\n",
              "50522  2019-12-09       1379.88\n",
              "50523  2019-11-25        148.50\n",
              "50524  2019-10-24        119.28\n",
              "50525  2019-10-17        119.28\n",
              "50526  2019-10-21        279.00"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FlVg7MRD6zm4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "aggregated=df2_ds.groupby('date',as_index=True).sum()"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1Pph6mGw7K4A",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "9e3d206a-851c-410f-c0a8-f05c5750e067"
      },
      "source": [
        "print(min(aggregated.index))\n",
        "print(max(aggregated.index))"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2018-01-03\n",
            "2020-07-30\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bez5t6XJ0Y59",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "aggregated.index=pd.to_datetime(aggregated.index)"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2YYxAbSAAMc5",
        "colab_type": "text"
      },
      "source": [
        "#Create Fetaures\n",
        "There are multiple ways of creating features, however, we will explore simpler ones - There are a few others, which I have commented for now"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ANeLnv9IAvgz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def create_features(df):\n",
        "    \"\"\"\n",
        "    Creates time series features from datetime index\n",
        "    \"\"\"\n",
        "    df['date'] = df.index\n",
        "    df['dayofweek'] = df['date'].dt.dayofweek\n",
        "    df['quarter'] = df['date'].dt.quarter\n",
        "    df['month'] = df['date'].dt.month\n",
        "    df['year'] = df['date'].dt.year\n",
        "    df['dayofyear'] = df['date'].dt.dayofyear\n",
        "    df['dayofmonth'] = df['date'].dt.day\n",
        "    df['weekofyear'] = df['date'].dt.weekofyear\n",
        "    df['flag'] = pd.Series(np.where(df['date'] >= np.datetime64('2020-03-03'), 1, 0), index=df.index) #flag for COVID-19\n",
        "    #df['rolling_mean_7'] = df['sale_dollars'].shift(7).rolling(window=7).mean()\n",
        "    #df['lag_7'] = df['sale_dollars'].shift(7)\n",
        "    #df['lag_15']=df['sale_dollars'].shift(15)\n",
        "    #df['lag_last_year']=df['sale_dollars'].shift(52).rolling(window=15).mean()\n",
        "  \n",
        "    \n",
        "    X = df[['dayofweek','quarter','month','year',\n",
        "           'dayofyear','dayofmonth','weekofyear','flag','sale_dollars']]\n",
        "    X.index=df.index\n",
        "    return X"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pq0YTx94Axo8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def split_data(data, split_date):\n",
        "    return data[data.index <= split_date].copy(), \\\n",
        "           data[data.index >  split_date].copy()"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Yd5OdAW5BDWv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 606
        },
        "outputId": "2e4666f8-b896-488f-f5dc-3853ea4c8014"
      },
      "source": [
        "aggregated=create_features(aggregated)\n",
        "train, test = split_data(aggregated, '2020-06-15') # splitting the data for training before 15th June\n",
        "\n",
        "plt.figure(figsize=(20,10))\n",
        "plt.xlabel('date')\n",
        "plt.ylabel('sales')\n",
        "plt.plot(train.index,train['sale_dollars'],label='train')\n",
        "plt.plot(test.index,test['sale_dollars'],label='test')\n",
        "plt.legend()\n",
        "plt.show()\n"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_r8WQT9H-nL9",
        "colab_type": "text"
      },
      "source": [
        "There is a lot of variation within the date, also, the dates are not continous, that is, there are gaps - we can do two things here, impute missing date or let it be. A major reason we will not create missing dates is because we are considering this data for predictive modeling rather than time series forecasting - hence the data is not depenent on the immediate past but the relationship of the features with sales over time"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "59jHH0I_CBHh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "3e760938-bd67-411a-f99a-d0d664ad3021"
      },
      "source": [
        "train.tail(4)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>dayofweek</th>\n",
              "      <th>quarter</th>\n",
              "      <th>month</th>\n",
              "      <th>year</th>\n",
              "      <th>dayofyear</th>\n",
              "      <th>dayofmonth</th>\n",
              "      <th>weekofyear</th>\n",
              "      <th>flag</th>\n",
              "      <th>sale_dollars</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2020-06-09</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>161</td>\n",
              "      <td>9</td>\n",
              "      <td>24</td>\n",
              "      <td>1</td>\n",
              "      <td>2588.94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-06-11</th>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>163</td>\n",
              "      <td>11</td>\n",
              "      <td>24</td>\n",
              "      <td>1</td>\n",
              "      <td>69550.07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-06-12</th>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>164</td>\n",
              "      <td>12</td>\n",
              "      <td>24</td>\n",
              "      <td>1</td>\n",
              "      <td>3011.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-06-15</th>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>167</td>\n",
              "      <td>15</td>\n",
              "      <td>25</td>\n",
              "      <td>1</td>\n",
              "      <td>157158.24</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            dayofweek  quarter  month  ...  weekofyear  flag  sale_dollars\n",
              "date                                   ...                                \n",
              "2020-06-09          1        2      6  ...          24     1       2588.94\n",
              "2020-06-11          3        2      6  ...          24     1      69550.07\n",
              "2020-06-12          4        2      6  ...          24     1       3011.43\n",
              "2020-06-15          0        2      6  ...          25     1     157158.24\n",
              "\n",
              "[4 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sNwbBhkkipSL",
        "colab_type": "text"
      },
      "source": [
        "# Run PyCaret"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8hz1b-ViELta",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#!pip install pycaret "
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0G24V-M4EWzs",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from pycaret.regression import *"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lA_XyhCt_7K9",
        "colab_type": "text"
      },
      "source": [
        "Setting up the model is extremely easy"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pb1KuIswE4Q-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 956,
          "referenced_widgets": [
            "fe4ff1a8494c4db18b6f62cc48ebdf33",
            "cc1f9d5ed0fc4df8b06cc33fcfb12433",
            "a6657fb7e6c74968946ddf3c13aa852b"
          ]
        },
        "outputId": "56e01544-b229-47b7-9ac6-ed33061293f5"
      },
      "source": [
        "reg = setup(data = train, \n",
        "             target = 'sale_dollars',\n",
        "             numeric_imputation = 'mean',\n",
        "             categorical_features = ['dayofweek','quarter','month','year','dayofyear','dayofmonth','weekofyear',\n",
        "                                     'flag']  , \n",
        "            transformation = True, transform_target = True, \n",
        "                  combine_rare_levels = True, rare_level_threshold = 0.1,\n",
        "                  remove_multicollinearity = True, multicollinearity_threshold = 0.95, \n",
        "             silent = True)"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " \n",
            "Setup Succesfully Completed.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "    #T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row1_col1 {\n",
              "            background-color:  yellow;\n",
              "        }    #T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row17_col1 {\n",
              "            background-color:  yellow;\n",
              "        }    #T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row23_col1 {\n",
              "            background-color:  yellow;\n",
              "        }    #T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row28_col1 {\n",
              "            background-color:  yellow;\n",
              "        }</style><table id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Description</th>        <th class=\"col_heading level0 col1\" >Value</th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row0_col0\" class=\"data row0 col0\" >session_id</td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row0_col1\" class=\"data row0 col1\" >7424</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Transform Target </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row1_col1\" class=\"data row1 col1\" >True</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Transform Target Method</td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row2_col1\" class=\"data row2 col1\" >yeo-johnson</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Original Data</td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row3_col1\" class=\"data row3 col1\" >(385, 9)</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Missing Values </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row4_col1\" class=\"data row4 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Numeric Features </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row5_col1\" class=\"data row5 col1\" >0</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row6_col0\" class=\"data row6 col0\" >Categorical Features </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row6_col1\" class=\"data row6 col1\" >8</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Ordinal Features </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row7_col1\" class=\"data row7 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row8_col0\" class=\"data row8 col0\" >High Cardinality Features </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row8_col1\" class=\"data row8 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row9_col0\" class=\"data row9 col0\" >High Cardinality Method </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row9_col1\" class=\"data row9 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row10_col0\" class=\"data row10 col0\" >Sampled Data</td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row10_col1\" class=\"data row10 col1\" >(385, 9)</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row11_col0\" class=\"data row11 col0\" >Transformed Train Set</td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row11_col1\" class=\"data row11 col1\" >(269, 185)</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row12_col0\" class=\"data row12 col0\" >Transformed Test Set</td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row12_col1\" class=\"data row12 col1\" >(116, 185)</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row13_col0\" class=\"data row13 col0\" >Numeric Imputer </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row13_col1\" class=\"data row13 col1\" >mean</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row14_col0\" class=\"data row14 col0\" >Categorical Imputer </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row14_col1\" class=\"data row14 col1\" >constant</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row15_col0\" class=\"data row15 col0\" >Normalize </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row15_col1\" class=\"data row15 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row16_col0\" class=\"data row16 col0\" >Normalize Method </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row16_col1\" class=\"data row16 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row17_col0\" class=\"data row17 col0\" >Transformation </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row17_col1\" class=\"data row17 col1\" >True</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row18_col0\" class=\"data row18 col0\" >Transformation Method </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row18_col1\" class=\"data row18 col1\" >yeo-johnson</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row19_col0\" class=\"data row19 col0\" >PCA </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row19_col1\" class=\"data row19 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row20_col0\" class=\"data row20 col0\" >PCA Method </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row20_col1\" class=\"data row20 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row21_col0\" class=\"data row21 col0\" >PCA Components </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row21_col1\" class=\"data row21 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row22_col0\" class=\"data row22 col0\" >Ignore Low Variance </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row22_col1\" class=\"data row22 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row23_col0\" class=\"data row23 col0\" >Combine Rare Levels </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row23_col1\" class=\"data row23 col1\" >True</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row24_col0\" class=\"data row24 col0\" >Rare Level Threshold </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row24_col1\" class=\"data row24 col1\" >0.100000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row25_col0\" class=\"data row25 col0\" >Numeric Binning </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row25_col1\" class=\"data row25 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row26_col0\" class=\"data row26 col0\" >Remove Outliers </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row26_col1\" class=\"data row26 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row27_col0\" class=\"data row27 col0\" >Outliers Threshold </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row27_col1\" class=\"data row27 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row28_col0\" class=\"data row28 col0\" >Remove Multicollinearity </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row28_col1\" class=\"data row28 col1\" >True</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row29_col0\" class=\"data row29 col0\" >Multicollinearity Threshold </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row29_col1\" class=\"data row29 col1\" >0.950000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row30_col0\" class=\"data row30 col0\" >Clustering </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row30_col1\" class=\"data row30 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row31_col0\" class=\"data row31 col0\" >Clustering Iteration </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row31_col1\" class=\"data row31 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row32_col0\" class=\"data row32 col0\" >Polynomial Features </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row32_col1\" class=\"data row32 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row33_col0\" class=\"data row33 col0\" >Polynomial Degree </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row33_col1\" class=\"data row33 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row34_col0\" class=\"data row34 col0\" >Trignometry Features </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row34_col1\" class=\"data row34 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row35_col0\" class=\"data row35 col0\" >Polynomial Threshold </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row35_col1\" class=\"data row35 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row36_col0\" class=\"data row36 col0\" >Group Features </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row36_col1\" class=\"data row36 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row37_col0\" class=\"data row37 col0\" >Feature Selection </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row37_col1\" class=\"data row37 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row38_col0\" class=\"data row38 col0\" >Features Selection Threshold </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row38_col1\" class=\"data row38 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row39\" class=\"row_heading level0 row39\" >39</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row39_col0\" class=\"data row39 col0\" >Feature Interaction </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row39_col1\" class=\"data row39 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row40\" class=\"row_heading level0 row40\" >40</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row40_col0\" class=\"data row40 col0\" >Feature Ratio </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row40_col1\" class=\"data row40 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002level0_row41\" class=\"row_heading level0 row41\" >41</th>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row41_col0\" class=\"data row41 col0\" >Interaction Threshold </td>\n",
              "                        <td id=\"T_67ea2c92_e1d5_11ea_a39b_0242ac1c0002row41_col1\" class=\"data row41 col1\" >None</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f4aadff92b0>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9aqlIk56AauE",
        "colab_type": "text"
      },
      "source": [
        "As a data scientist, I can't emphasize more on the usefulness of the function below - instead of pulling every single model, we just need one line to compare 20 different models! **This is insane!**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2i0TiH95F6E-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# returns best models - takes a little time to run\n",
        "top3 = compare_models(n_select = 3)"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qAa4eHGtAPF2",
        "colab_type": "text"
      },
      "source": [
        "## Creating baseline model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BHH6Yiq1GaQo",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 292,
          "referenced_widgets": [
            "ef1b8c8523d14bae8063cc50962be563",
            "32735450faed4860bba41860067140e7",
            "d0ddb74c942f4fbba405cc4d74ed9bcf"
          ]
        },
        "outputId": "58e43d60-f1ef-4745-e525-a197eca55bc3"
      },
      "source": [
        "#we create a model using light gbm\n",
        "lightgbm = create_model('lightgbm')"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
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              "            background:  yellow;\n",
              "        }</style><table id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >MAE</th>        <th class=\"col_heading level0 col1\" >MSE</th>        <th class=\"col_heading level0 col2\" >RMSE</th>        <th class=\"col_heading level0 col3\" >R2</th>        <th class=\"col_heading level0 col4\" >RMSLE</th>        <th class=\"col_heading level0 col5\" >MAPE</th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row0_col0\" class=\"data row0 col0\" >27679.6948</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row0_col1\" class=\"data row0 col1\" >2264608200.9779</td>\n",
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              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row1_col0\" class=\"data row1 col0\" >20146.7760</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row1_col1\" class=\"data row1 col1\" >1059222094.4910</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row1_col2\" class=\"data row1 col2\" >32545.6924</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row1_col3\" class=\"data row1 col3\" >0.4035</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row1_col4\" class=\"data row1 col4\" >1.8166</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row1_col5\" class=\"data row1 col5\" >7.3706</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row2_col0\" class=\"data row2 col0\" >22913.6495</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row2_col1\" class=\"data row2 col1\" >1294520352.8960</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row2_col2\" class=\"data row2 col2\" >35979.4435</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.6390</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row2_col4\" class=\"data row2 col4\" >1.4485</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row2_col5\" class=\"data row2 col5\" >4.7131</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row3_col0\" class=\"data row3 col0\" >26302.5325</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row3_col1\" class=\"data row3 col1\" >1491153629.4319</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row3_col2\" class=\"data row3 col2\" >38615.4584</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row3_col3\" class=\"data row3 col3\" >0.4787</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row3_col4\" class=\"data row3 col4\" >1.3046</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row3_col5\" class=\"data row3 col5\" >2.7212</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row4_col0\" class=\"data row4 col0\" >12672.3047</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row4_col1\" class=\"data row4 col1\" >290505824.6281</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row4_col2\" class=\"data row4 col2\" >17044.2314</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row4_col3\" class=\"data row4 col3\" >0.9023</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row4_col4\" class=\"data row4 col4\" >0.4905</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row4_col5\" class=\"data row4 col5\" >0.2488</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row5_col0\" class=\"data row5 col0\" >22265.6809</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row5_col1\" class=\"data row5 col1\" >1132222959.3479</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row5_col2\" class=\"data row5 col2\" >33648.5209</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row5_col3\" class=\"data row5 col3\" >0.5073</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row5_col4\" class=\"data row5 col4\" >1.3927</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row5_col5\" class=\"data row5 col5\" >4.4580</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row6_col0\" class=\"data row6 col0\" >30089.5524</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row6_col1\" class=\"data row6 col1\" >1691057520.9404</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row6_col2\" class=\"data row6 col2\" >41122.4698</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.2322</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row6_col4\" class=\"data row6 col4\" >1.2405</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row6_col5\" class=\"data row6 col5\" >1.7433</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row7_col0\" class=\"data row7 col0\" >12221.3108</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row7_col1\" class=\"data row7 col1\" >292726304.6515</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row7_col2\" class=\"data row7 col2\" >17109.2462</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row7_col3\" class=\"data row7 col3\" >0.8936</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row7_col4\" class=\"data row7 col4\" >2.2399</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row7_col5\" class=\"data row7 col5\" >22.8773</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row8_col0\" class=\"data row8 col0\" >14928.2425</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row8_col1\" class=\"data row8 col1\" >446448142.5014</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row8_col2\" class=\"data row8 col2\" >21129.3195</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row8_col3\" class=\"data row8 col3\" >0.8614</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row8_col4\" class=\"data row8 col4\" >2.1695</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row8_col5\" class=\"data row8 col5\" >43.4240</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row9_col0\" class=\"data row9 col0\" >23426.3357</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row9_col1\" class=\"data row9 col1\" >1138782924.7624</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row9_col2\" class=\"data row9 col2\" >33745.8579</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row9_col3\" class=\"data row9 col3\" >0.7069</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row9_col4\" class=\"data row9 col4\" >1.4152</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row9_col5\" class=\"data row9 col5\" >5.9508</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >Mean</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row10_col0\" class=\"data row10 col0\" >21264.6080</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row10_col1\" class=\"data row10 col1\" >1110124795.4628</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row10_col2\" class=\"data row10 col2\" >31852.8140</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row10_col3\" class=\"data row10 col3\" >0.5816</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row10_col4\" class=\"data row10 col4\" >1.5043</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row10_col5\" class=\"data row10 col5\" >9.5761</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >SD</th>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row11_col0\" class=\"data row11 col0\" >5914.5261</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row11_col1\" class=\"data row11 col1\" >602808627.2661</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row11_col2\" class=\"data row11 col2\" >9773.5888</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row11_col3\" class=\"data row11 col3\" >0.2490</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row11_col4\" class=\"data row11 col4\" >0.4736</td>\n",
              "                        <td id=\"T_5c59df20_e1d6_11ea_a39b_0242ac1c0002row11_col5\" class=\"data row11 col5\" >12.8039</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f4ab73d5860>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IB0PkaSHBotE",
        "colab_type": "text"
      },
      "source": [
        "Being able to tune seamlessly and hardly writing a line is extremely useful"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WYO3g_5tJ0ze",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 292,
          "referenced_widgets": [
            "a88069478f044e8b86163623106c6e16",
            "a6aaf5a7b8e94654bd9b734bfa90ae06",
            "33db443f1200442281a5064b139386cc"
          ]
        },
        "outputId": "30bedc3f-475a-47b6-f599-4a85952c84c5"
      },
      "source": [
        "tuned_lightgbm = tune_model(lightgbm) "
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "                        <th id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row5_col0\" class=\"data row5 col0\" >23495.2458</td>\n",
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              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row5_col2\" class=\"data row5 col2\" >34945.2924</td>\n",
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              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row5_col5\" class=\"data row5 col5\" >4.6471</td>\n",
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              "            <tr>\n",
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              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row6_col0\" class=\"data row6 col0\" >28569.3458</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row6_col1\" class=\"data row6 col1\" >1518469599.4612</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row6_col2\" class=\"data row6 col2\" >38967.5455</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.3106</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row6_col4\" class=\"data row6 col4\" >1.0935</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row6_col5\" class=\"data row6 col5\" >1.9208</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row7_col0\" class=\"data row7 col0\" >14249.2330</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row7_col1\" class=\"data row7 col1\" >440531493.3635</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row7_col2\" class=\"data row7 col2\" >20988.8421</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row7_col3\" class=\"data row7 col3\" >0.8398</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row7_col4\" class=\"data row7 col4\" >2.2965</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row7_col5\" class=\"data row7 col5\" >24.1798</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row8_col0\" class=\"data row8 col0\" >14287.6710</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row8_col1\" class=\"data row8 col1\" >393175643.5341</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row8_col2\" class=\"data row8 col2\" >19828.6571</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row8_col3\" class=\"data row8 col3\" >0.8779</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row8_col4\" class=\"data row8 col4\" >2.1633</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row8_col5\" class=\"data row8 col5\" >39.8652</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row9_col0\" class=\"data row9 col0\" >23791.5429</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row9_col1\" class=\"data row9 col1\" >1120916367.6505</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row9_col2\" class=\"data row9 col2\" >33480.0891</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row9_col3\" class=\"data row9 col3\" >0.7115</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row9_col4\" class=\"data row9 col4\" >1.3428</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row9_col5\" class=\"data row9 col5\" >4.9723</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >Mean</th>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row10_col0\" class=\"data row10 col0\" >21497.0044</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row10_col1\" class=\"data row10 col1\" >1084158128.7897</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row10_col2\" class=\"data row10 col2\" >31988.9229</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row10_col3\" class=\"data row10 col3\" >0.5939</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row10_col4\" class=\"data row10 col4\" >1.4688</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row10_col5\" class=\"data row10 col5\" >9.8766</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >SD</th>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row11_col0\" class=\"data row11 col0\" >4844.7420</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row11_col1\" class=\"data row11 col1\" >509941405.2227</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row11_col2\" class=\"data row11 col2\" >7801.7268</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row11_col3\" class=\"data row11 col3\" >0.2117</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row11_col4\" class=\"data row11 col4\" >0.5118</td>\n",
              "                        <td id=\"T_891e9820_e1d6_11ea_a39b_0242ac1c0002row11_col5\" class=\"data row11 col5\" >11.8484</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f4aae183b38>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d4Iatz7WKR-l",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 376,
          "referenced_widgets": [
            "587e993da97d40e3929f3115a581afb0",
            "b05841eeccb641e4bf8f0616dee789d3",
            "8abce8a944c041b980edb46b327b7d7e"
          ]
        },
        "outputId": "7332db8f-3bc7-4899-c4aa-13aac6b8af25"
      },
      "source": [
        "plot_model(lightgbm)"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0Hv6iMsZKVg0",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 378
        },
        "outputId": "c3003fd8-76c8-4ea3-8228-6657fdd0027d"
      },
      "source": [
        "plot_model(lightgbm, plot = 'error')"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "olNQjb0XKWTh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 349
        },
        "outputId": "4ef70395-74bc-46fc-b33d-1ebf8a45cda3"
      },
      "source": [
        "plot_model(tuned_lightgbm, plot='feature') # looks like COVID-19 has played a huge role in sales"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b_Fd_xJ1Lgs5",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "outputId": "c5fdaee8-a602-4e7d-b445-22323cbc4cfa"
      },
      "source": [
        "predict_model(tuned_lightgbm);"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Model</th>\n",
              "      <th>MAE</th>\n",
              "      <th>MSE</th>\n",
              "      <th>RMSE</th>\n",
              "      <th>R2</th>\n",
              "      <th>RMSLE</th>\n",
              "      <th>MAPE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Light Gradient Boosting Machine</td>\n",
              "      <td>22274.3454</td>\n",
              "      <td>1.252090e+09</td>\n",
              "      <td>35384.8774</td>\n",
              "      <td>0.5623</td>\n",
              "      <td>1.4822</td>\n",
              "      <td>0    8.186057\n",
              "dtype: float64</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             Model         MAE           MSE        RMSE  \\\n",
              "0  Light Gradient Boosting Machine  22274.3454  1.252090e+09  35384.8774   \n",
              "\n",
              "       R2   RMSLE                          MAPE  \n",
              "0  0.5623  1.4822  0    8.186057\n",
              "dtype: float64  "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JV_UhNbfLifp",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "final_lightgbm = finalize_model(tuned_lightgbm)"
      ],
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "URUPWTwkLoRs",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        },
        "outputId": "abf319c4-ba69-43e2-aba0-f52d8e30da99"
      },
      "source": [
        "#Final Light Gradient Boosting Machine parameters for deployment\n",
        "print(final_lightgbm)"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "LGBMRegressor(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,\n",
            "              importance_type='split', learning_rate=0.3, max_depth=40,\n",
            "              min_child_samples=20, min_child_weight=0.001, min_split_gain=0.2,\n",
            "              n_estimators=150, n_jobs=-1, num_leaves=100, objective=None,\n",
            "              random_state=7424, reg_alpha=0.2, reg_lambda=0.2, silent=True,\n",
            "              subsample=1.0, subsample_for_bin=200000, subsample_freq=0)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s8eWLjcrLuAY",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "outputId": "d1dfcc3c-f0e4-4766-b4b2-6cb37a9be06a"
      },
      "source": [
        "predict_model(final_lightgbm);"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Model</th>\n",
              "      <th>MAE</th>\n",
              "      <th>MSE</th>\n",
              "      <th>RMSE</th>\n",
              "      <th>R2</th>\n",
              "      <th>RMSLE</th>\n",
              "      <th>MAPE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Light Gradient Boosting Machine</td>\n",
              "      <td>21132.048</td>\n",
              "      <td>1.118844e+09</td>\n",
              "      <td>33449.1286</td>\n",
              "      <td>0.6089</td>\n",
              "      <td>1.4375</td>\n",
              "      <td>0    7.273443\n",
              "dtype: float64</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             Model        MAE           MSE        RMSE  \\\n",
              "0  Light Gradient Boosting Machine  21132.048  1.118844e+09  33449.1286   \n",
              "\n",
              "       R2   RMSLE                          MAPE  \n",
              "0  0.6089  1.4375  0    7.273443\n",
              "dtype: float64  "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wUpeBVkIL5zF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "unseen_predictions = predict_model(final_lightgbm, data=test)\n",
        "unseen_predictions.head()\n",
        "unseen_predictions.loc[unseen_predictions['Label'] < 0, 'Label'] = 0 #removing any negative values"
      ],
      "execution_count": 45,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SzVa5sgyO3Ao",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def plot_series(time, series,i, format=\"-\", start=0, end=None):\n",
        "    #plt.figure(figsize=(20,10))\n",
        "    plt.plot(time[start:end], series[start:end], format,label=i)\n",
        "    plt.xlabel(\"Date\")\n",
        "    plt.ylabel(\"Sales (Dollar)\")\n",
        "    plt.legend()"
      ],
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EiznLosEO4L3",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 606
        },
        "outputId": "fddb144d-cd6f-40a2-dd60-f1b59820c9e5"
      },
      "source": [
        "plt.figure(figsize=(20,10))\n",
        "plot_series(test.index, test['sale_dollars'],\"True\")\n",
        "#plot_series(train['ds'],train['y'])\n",
        "plot_series(test.index, unseen_predictions['Label'],\"Baseline\")"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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IcyAsSWr0EWxli2ALAAATBdMBljGCaARcIXZsAQDy5JE3t8gfiWvBeaer2uOiYwsYQFoCnZLEKGI/EGwBAGCiTMdWegSxklFEAEAeJZJJLXplozxOh742/TTVlLvVHiHYAgYKo2OLUcTsEWwBAGAiY+SQUUQAgBn+uGGHth3o0PwpIzXE61GNx632MM85wEDR4jdGEenYyhbBFgAAJjI6s6qOWB7fQccWACAP7m3aKEm6cdZYSZKv3CV/JKZkepE8AGs1Z0YR6djKFsEWAAAmCh7VsdX93yCLfAEAOfbG9la9vq1VF409UWNO8EmSfB63UikpFON5BxgIMsvj2bGVNYItAABMZOzYqnR3d2wZnVvs2AIA5No96W6tm2aPzVxWU+6WJMYRgQGixd+pSrdTVR6X1aUULIItAABM1JEOtowXLwd3bBFsAQByZ9uBkJ5a95EmNdbq/NFDM5fXlHc/73AyIjAwNAfCjCH2E8EWAAAmyowipndreTOnIvLOOQAgdxa/sknJVEo3zh4rm82WufxgxxbBFmC1eCKpvaEIi+P7iWALAAATGQHWkTu26NgCAOSKPxzTwyu3qKG6XFecMeKwj/k83cGWP0KwBVhtd3q/VgMdW/1CsAUAgImMAMvYrVVpdGxF6dgCAOTGf765RcFoXNedd7rcTsdhH/NlRhF53gGsdvBERDq2+oNgCwAAEx15KqLb6ZDbYVcHy+MBADnQlUjqvlc2qcLt0D9OP+2ojxujiH5GEQHLZU5E9NGx1R8EWwAAmMjo2PK6D5584y1zMooIAMiJ36/7SB+1dehvp4xSXUXZUR+vSY8itjOKCFiuxc8oYi4QbAEAYKJQzBhFdGYu85a5Mp1cAABkK5VK6Z6md2WzSd+YNfaY1/GxPB4YMBhFzA2CLQAATBSKxmWzSeWug8FWFR1bAIAceH1bq97asV+fH3eSThtSfczr1KR3bPnZsQVYjlHE3CDYAgDARKFolyrdTtntB49e97pdmdMSAQDI1j1NGyVJN80e1+N1GEUEBo4W41TEKoKt/iDYAgDARKFo/LD9WlL3jq1oV1LxRNKiqgAAhe6DfUH9ccNHmnxSnWaNrO/xej6WxwMDRkugUz6PS5VlruNfGT0i2AIAwETBaNdh+7UkqdLd/XdORgQAZOu+VzYqlZJunD1ONputx+u5HHZVup3s2AIGgGZ/WI0+9mv1F8EWAAAmCsXi8pYd2bHV/fcQC+QBAFlo64zqkTc/0Im+Cs2dNPy41/d5XGpnxxZgqWhXQvs7o2rkRMR+I9gCAMAkyWRKHbEueY/o2DL+zgJ5AEA2HnpjizpiXbr+vDFyOY7/K15NuVt+dmwBlsrs1+JExH4j2AIAwCSd8S6lUjq6Yyu9cytIxxYAoI/iiaQWv7pJlW6n/n7a6F59Tk25W+3hmFKpVJ6rA9CTZn+nJKmBjq1+I9gCAMAkRkeW191DxxY7tgAAfbRs7Xbt8nfqq1NHq7airFef4yt3qyuZUifPO4BlmtMdW4wi9h/BFgAAJgnFujuyjhxFrGLHFgAgC6lUSvc0vSubTfrGzDG9/jyfp/t5pz3C8w5glZZAumOL5fH9RrAFAIBJgpHud8arjhhFrGTHFgAgCy9/uFdrdh7QF8YP08hBVb3+vJpytyTJz8mIgGWa/XRs5QrBFgAAJumpY8sYTWQUEQDQF/c0vStJumn22D59nhFstRNsAZZhFDF3CLYAADDJwR1bRyyPT3dwdTCKCADopc2tAT377k6dM2yQZowY0qfPrfGkgy1GEQHLZEYRORWx3wi2AAAwidGRdeQoIh1bAIC+uu/ljUqlpBtnjZPNZuvT5/rK0zu26NgCLNMcCKuuwi2Py2F1KQWPYAsAAJME0++MVx45isiOLQBAHxzojOrXb32gYbWVunTisD5/vs/Dji3Aas3+TjXSrZUTBFsAAJiko6cdW+kOriCjiACAXvjlis0KxxP6xswxcjr6/itdZnl8hGALsEJnrEv+SFwN7NfKCYItAABMYnRk9TiKSMcWAOA4Yl0J/ezV91RV5tJXzxmd1W3UZEYReUMFsEKLsTjeR8dWLhBsAQBgEqMjywiyDFWe7l8wjFMTAQDoyRN/2aaWQFjXTB0tX7rzqq84FRGwVnN6cTwnIuYGwRYAACbJnIpIxxYAIAupVEr3Nm2U3WbT9TPHZH07BFuAtZr96Y4tdmzlBMEWAAAmOXgq4uEdW26nQy6HXR0EWwCAj/Hilt1a29ymSycO04g6b9a3k1keH6FTGLBCS7pjq8FHx1YuEGwBAGCSzCjiER1bUnfXFqOIAICPc0/TRknSTbPH9ut2PC6Hypx2TkUELNJs7NhiFDEnCLYAADDJwVFE51Ef85Y5GUUEAPRo4x6/ntu4SzNGDNHU4UP6fXs15W5GEQGLNPuNHVuMIuYCwRYAACbpiMblsNvkcTqO+pi3zEXHFgCgR4te7u7WurGf3VqGGo9b7RGCLcAKxqmIJ1R5LK6kOBBsAQBgkmC0S163Uzab7aiPed1OBSN0bAEAjtYaimjJqg91Sp1XXxh/ck5u01fuomMLsEhzIKwh3jK5j/FmJ/qOYAsAAJOEYvFj7teSukcRI10JdSWSJlcFABjoHlyxWZGuhL4xc4wc9tz8CufzuBXtSioST+Tk9gD0XnOgkzHEHCLYAgDAJKF0x9axGIFXR4yuLQDAQZF4Qve/+p58Hpf+7pzRObvdmnLjZES6tgAzBSNxhaJdamBxfM4QbAEAYJJgNK4qTw8dW+nAK0SwBQA4xONvb9XeUET/MO3UHp9DsmEEW4wjAuZqDrA4PtcItgAAMEEimVQ4njhux1YoygJ5AEC3VCqle5s2ymG36brzxuT0tgm2AGs0pxfHN/ro2MoVgi0AAExgjBhWlvUUbKU7tqJ0bAEAuv3P5hZt2N2uuZOG6+Taypzeti/d/eWP8IYKYKZmf3fHVgMdWzlDsAUAgAmC6cCqqqfl8e50xxajiACAtHuaNkqSbpo9Lue3TccWYI0Wo2OLHVs5Q7AFAIAJjBFD73E7tnjnHAAgbWhp0wvvNWvWyHpNOXlQzm/fR7AFWCITbPno2MoVgi0AAExgjBganVlHMkYUgwRbAABJi17eJEm6MQ/dWtIhpyKGed4BzHRweTwdW7lCsAUAgAmMwOq4o4js2AKAkrcnGNZjqz/U6MFV+vy4E/NyH8aOrfYIHVuAmVoCYdltNtV7PVaXUjQItgAAMIGxO6unUcSq9OUd7NgCgJL3wGubFUskdcPMsXLY8/Mr28GOLYItwEzN/rBOqPLI6SCOyRX+JQEAMIGxO6vnUxFdh10PAFCawvEuPfD6e6otd+tvzx6Zt/theTxgvlQqpeZAJ2OIOUawBQCACULHOxUxszyeji0AKGWPrd6qfR1R/eP0U1XZw3NGLtRkRhF5QwUwiz8SVzieUEM1i+NziWALAAATZE5FdPfQsZW+PMQoIgCUrGQypUUvb5TLYdd1543J631VuJ1y2m2MIgImavZ3L45voGMrpwi2AAAwwcEdWz11bDGKCACl7vn3mrVxj19fOmOEGn357eiw2WzyedyMIgImag6EJXEiYq4RbAEAYIKDo4h0bAEAju2epnclSTfOGmvK/dWUu+VnFBEwTXMg3bGV5+C61BBsAQBggqAxinicjq0gv2AAQEla23xA//f+bp0/+gSdeVKdKfdZU+6iYwswUYufjq18INgCAMAERsdWTzu2ypx2Oew2ddCxBQAl6d6mjZKkG2ePM+0+a8rd6oh1KZ5ImnafQCkzOrYaWR6fUwRbAACYIBTr7sSq8hy7Y8tms6mqzMWpiABQgloCnXr87W06fUi1Lhpzomn3W+1xSxIL5AGTZHZs+ejYyiWCLQAATGCMGPbUsWV8zAjAAACl4+evvad4IqkbZo+V3W4z7X5ryrvfbGHPFmCOFn9YDrtNQyo9VpdSVAi2AAAwQUesSy6HXW6no8freMucdGwBQInpjHXpF69v1qCKMs2fPNLU+64p7+7YYs8WYI6WYKcaqspNDbBLAcEWAAAmCEW7ejwR0eAtc9GxBQAl5tFVH+hAZ0zXzjhNFR/T1ZsPBFuAeVKplJr9YcYQ84BgC0BJSqVS6mRJN0wUjMZ7PBHR4HU71RlLKJFkiS8AlIJkMqVFTRvldtj19XNPN/3+a9I7ttojBFtAvh3ojCmWSKqBxfE5l9dga/Pmzbrgggv02GOPSZJaWlo0f/58XXXVVbrhhhsUi3X/AH366ad16aWXau7cuVq2bJkkKR6P6+abb9aVV16pefPmaceOHZKkTZs26YorrtAVV1yh7373u5n7euihh3TZZZdp7ty5ampqyueXBaAIfPOZ1Rpx51PadiBkdSkoEaFo18fu15KkynRHV2csYUZJAACL/b+NO/X+vqCuPOsUDa02v4ujOr1ji44tIP8OnohIx1au5S3Y6uzs1J133qnp06dnLrvvvvt01VVXaenSpRo+fLh+97vfqbOzU/fff79+/etfa8mSJXr00UfV3t6uZ599VtXV1Xr88cd17bXX6ic/+YkkaeHChbrtttv0xBNPKBQKqampSTt27NBzzz2npUuX6sEHH9Rdd92lRIJfCgD0bH1Lu/Z3RvX1369UKpWyuhyUgFAsLu/xRhHd3b9gBKOMIwJAKbi3aaMk6abZYy25f6NjK8DyeCDvmv3GiYh0bOVa3oItt9utX/3qV6qvr89ctnLlSn3605+WJJ1//vlasWKF1q5dqwkTJqiqqkoej0dnnXWW1qxZoxUrVmjOnDmSpBkzZmjNmjWKxWLatWuXJk6ceNhtrFy5UjNnzpTb7VZdXZ1OPPFEbdmyJV9fGoAiYBxr/fymZj3x9jZri0HRiyeSinYlVXW8UcR08BViTBYAit6anfv10gd7dMFpDZrQUGtJDezYAsxjdGw10LGVc3kLtpxOpzyew4+wDIfDcru7f3gOGjRIra2t2rdvn+rq6jLXqaurO+pyu90um82mffv2qbq6OnPd490GAPTEH4mrwu1Qucuhm/70lvZ3RK0uCUUslO7AqjzOKKIRfIXo2AKAonePxd1aEsEWYKaWQLpjix1bOWfusRuH6Gn0py+X9/U2jrRhw4ZeXS9XVq9eber9AUfiMXjQvmCHBpc5dMmoGi3+y15d8+sX9J1pjVaXhQGsP98/ezq6g6pYR/Bjbyd4oPtNmdXr31FqT2XW94fixM9wWI3HYO7s6Yzrybe36hRfmQaHWrR69W5L6mjp6A60Pti5u2D+/xZKncCR1m5pkSS17dyq1R0tFleTW1Z/X5oabFVUVCgSicjj8WjPnj2qr69XfX299u3bl7nO3r17dcYZZ6i+vl6tra0aM2aM4vG4UqmUhgwZovb29sx1D72NrVu3HnX58YwfP15lZWW5/SJ7sHr1ak2ePNmU+wKOhcfg4Tp+u0mjhlTp7qvm6NXW/9YzHx7QNz4zRZ86tcHq0jAA9ff7593d7ZLe1/CGEz72dk71vyNt2KcTR4zS5LEnZn1/KD78DIfVeAzm1q3PrlEiJX37M2dqypRTLavDH45Jf9oiZ2VVQfz/5XGIQhZf95KkNl0wbbIGez3Hu3rBOPL7MhqNmt5ElNdTEY80Y8YMPf/885KkF154QTNnztSkSZO0fv16BQIBdXR0aM2aNZoyZYrOPfdcLV++XJL04osvaurUqXK5XBo5cqRWrVp12G1MmzZNL730kmKxmPbs2aO9e/dq9OjRZn5pAApIJJ5QtCupao9LToddD86dJrvNpmuXrVQ4zm4j5J6xM+u4y+ONHVuMIgJA0QpF4/rlG+9riLdM8yaPtLSWqjKXbLaDu0cB5E9LoFMuh12DKs1prikleevY2rBhg370ox9p165dcjqdev7553X33Xfr29/+tp588kk1NjbqC1/4glwul26++WZdc801stlsWrBggaqqqnTRRRfp9ddf15VXXim3260f/vCHkqTbbrtNt99+u5LJpCZNmqQZM2ZIki6//HLNmzdPNptNd9xxh+x2UzM7AAXEH+l+8WbslZh88iDdMGuM7mnaqB/8z3otvOhMK8tDETKCKu9xdmxVZoItAlYAKFaPvvWB2sMxffczE+VxOSytxahC9egAACAASURBVG63yedxqz3MGypAvjX7w2qsLpfNZrO6lKKTt2Br/PjxWrJkyVGXP/LII0ddduGFF+rCCy887DKHw6G77rrrqOuOHj1aS5cuPery+fPna/78+f2oGECp8KePtPalj7iWpO99dpKeWveR7n7xHX3pjBGa2GjN6UQoTsF0UFXlOc6piG6WxwNAMUskk1r08iaVOe26dsZpVpcjSaopd6k9QscWkE/JZEotwbDOOXmw1aUUJdqaAJQco93e6NiSpMoyl35+2VR1JVP62rIVSiSTVpWHItTbUxEzo4gxOrYAoBg9/c5OfbA/qHmTR6q+qtzqciQp3bFFsAXkU2tHRIlkSg2+gfF9X2wItgCUHOPFm6/88O6ZC8ecqCvPHKE3P9qvn7/2nhWloUgd3LF1vI4tdmwBQDG7t2mjJOmGWWMtruSgmnK3gtG4ksnenSwPoO+a/WFJUmM1wVY+EGwBKDnGKGLNIaOIhp9eMkV1FW7963N/0UdtHWaXhiLVYYwiHmd5vDGqyI4tACg+b360T69u3avPjmnUJ4bWWF1Ohs/jUiolBXhTBciblqARbFVYXElxItgCUHKMjq3q8qO7Z+qryvXji6eoI9alBb9fqVSKdy/Rf0FjeXxvO7YYRQSAomN0a/3z7HEWV3I4YzUD44hA/jT7OyWJUcQ8IdgCSsCilzfq0Xf3WV3GgBE4xvL4Q/3t2SP1qdFD9dzGXVq2druZpaFIGR1YxzsV0Qi+GEUEgOLyUVuHfrduuyY01OjTpw61upzD+Ai2gLxrCdCxlU8EW0CRS6VSuuP5tXp4fSvdR2ntx1gefyibzaYH5k6Vx+nQjX98S22dUTPLQxEKxbqDqqrjdWyxPB4AitLiVzYpkUzpxlnjZLPZrC7nMMZqBmNVA4Dcaw50d2yxYys/CLaAIvdRW4cCkbgiiZT2dRDQSJI/faS1z9NzyDB6cLVu/8xE7QlGdMuza8wqDUUqGDFGET++Y8vjdMhus2V2cgEACl8gEtNDK9/XCVUeXXnWCKvLOUpNejUDHVtA/mSWx/vo2MoHgi2gyK1racv8eduBkIWVDByZ5fE9dGwZ/vmT4zSxoVYPr9yipg/2mFEailRvT0W02WzyljkzO7kAAIXvkTc/UCAS14JzT1eZ02F1OUdhFBHIv5ZAp8pdjo99Yx3ZI9gCitz6lvbMn7dxyp+kgy/cjvfE4nLY9eDl02SzSdcue0OReMKM8lCEOnq5Y8u4DqciAkBx6Eokdd8rG1Xucuhr00+zupxjMt7o8xNsAXnTHAirsbpiwI0iFwuCLaDIrWs+2LG1nY4tSQeXx1f34h2Tc4YN1vXnjdHm1oD+/X/X57s0FKlgNC6P0yGn4/hPu94yV2YnFwCgsP1xww5tO9ChL08ZpcFej9XlHJPxRh8dW0B+dCWS2hOMqJETEfOGYAsocusZRTxKezimqjKXHPbe/Qj8/oVn6OSaCv3ozxu04ZB/T6C3QrGu4+7XMlSV0bEFAMXi3qaNkqQbZo2xuJKeZTq2WB4P5MXeUETJVEpDqwi28oVgCyhi4XiXNrcGNaGhRhKjiAZ/JNan+fYqj0v3XzpVXcmUrl22Uskkp0uib0LR+HFPRDR4y1zqiHXxOAOAArdiW6tWbG/V58adqNPrfVaX06MadmwBedUcMBbHE2zlC8EWUMTe2e1XMpXSzJEnqMplZxQxzR+OH3dx/JE+N+4kXX7GcK3Y3qpfvL45T5WhWAWjve/Yqkzv4eqM07UFAIXsnqZ3JUk3zR5ncSUfLxNsRQi2gHxo9ndKkhqrORExXwi2gCJm7Nea2FirBq9b29pCSqVKuwsklUrJH4lndSLJPZecrZpyt2577m3tbKf7Db2TSqUUisbldfe2Y6s72GIcEQAK19b9Qf1h/Q6d0VirT446wepyPlZ1uqOY5fFAfhgdWw3VdGzlC8EWUMSM/VoTG2rUUOlSZyyhfR1Ri6uyVijapWQqpeo+dmxJ0tDqcv3HxWcpGI3r+qfeLPmQEL0TSyTVlUypspcdW0YAxgJ5AChci1/dpGQqpZs+OW7An4LmdNjlLXOyYwvIk5ZAumPLR8dWvhBsAUVsfUubbDbpE0O7gy1J2l7ie7aM/RE1WXRsSdJXzxmt2aNO0NPv7NQf1u/IZWkoUsH0Lwq937HlTH8eHVsAUIj84ZgeXrlFjdXlunzScKvL6ZUaj5sdW0CeNPvTO7bo2Mobgi2gSKVSKa1rbteoQVXylrkywVapn4zoT++P8GXRsSVJNptNv5g7TWVOu77xhzd5EYjjCsW6A6re7tjKjCLSsQUABemhN95XKNql684bI7fTYXU5vVJTTrAF5EtL0Ai26NjKF4ItoEi1BMLa3xnVhIZaSTrYsVXywVZ3WNDX5fGHOm1Itf5tzkS1BMK69f+tyVVpKFKhaPdjzuvu4ygiO7YAoODEE0ktfnWTKtwO/cP0U60up9e6g604axaAPGjxd8pb5lRVlhMjOD6CLaBIrTtkv5YkNXq7g5xtjCJKUlbL4w/1L58cp/FDa/TLFe/r1Q/35qI0FKlgOqDq7SiicT2j0wsAUDh+v267drR36itnj1ZdRZnV5fRatcelZCrFmypAHjQHwnRr5RnBFlCk1je3S5ImNB7escUoYnf3TLUn+44tSXI7HfrF3Gmy2aSvLVuhaFciF+WhCGU6tno5iliZORWRUUQAKCSpVEr3NG2UzSbdMGuM1eX0idHJbqxsAJAb8URSe0MR9mvlGcEWUKTWNh+QJE1MjyJWuR3yeVza3lbiwZaxPL68/63A00cM0T/NOF2b9gb0o//b0O/bQ3E6uGOrb8vjO3jXHAAKymtbW7Vqx3799SdO1ujB1VaX0ydGsMWeLSC3dge692s1EGzlFcEWUKTWt7TLW+bUKXXezGUj6rzadqCjpPcnZJbH97Njy7DwojN0oq9Cd/3fBm3c48/JbaK4BPvYsZXZscXyeAAoKPe8/K4k6abZYy2upO+MN/zawzz3ALnUHOiUJDX6GEXMJ4ItoAhFuxLatNevCUNrZbfbMpcPr61UR6xL+zuiFlZnLX+4/8vjD1XtcetnXzxHsURSX/vtCiWTpRsa4tiMzisjsDqezKmIdGwBQMHYsi+gP23YoSknD9J5p9RbXU6fGW/4tTOKCORUc8A4EZGOrXwi2AKK0Ka9fnUlU5rQWHPY5SPS3VulvEC+PZKb5fGH+uvxJ+uLE4fptW2t+tXK93N2uygORkDV646t9PWC7NgCgIJx38ublEpJN84aK5vNdvxPGGB8jCICedHiN0YR6djKJ4ItoAitSy+ON/ZrGTLBVgkvkDc6tnw56tgy3Pc3Z8vncenbz65Rs78zp7eNwmaMFPb2VMTMKCIdWwBQENo6o3rkrS06yVehyyYNt7qcrBid7AFGEYGcMkYR2bGVXwRbQBFa39ImSZpwRLA1vLZSkrS9hIMto2OrJocdW1L3uzB3ff4sBSJx3fDHt3J62yhsfd6xZYwixgi2AKAQ/OqN99UZS+gbM8fI5SjMX6+M10WMIgK5lRlF9BFs5VNh/uQF8LHWNRvBFqOIRwqE43LYbapw9y5k6It/mHqqZo6s11PrPtKfNuzI+e2jMB0cRexdmGp0doUYRQSAAS/WldDiVzbJW+bUNdNOtbqcrHEqIpAfxiRHQxXBVj4RbAFFaH1Lu4bXVh41bmcEW9vbSrdjyx+Jqcbjzsv+C7vdpgcumya3w67rn3pTAd71hA4GW1W97Ngqdzlks0kddGwBwIC3bO12NQfC+uo5o3N2MI0V2LEF5EdLICyfx6XKXr7BiewQbAFFZm8wrN3B8FFjiFL3u3HVHpe2Hyjdjq32cEy+8vw9sYw9wadbPz1eu/yd+tfn/pK3+0HhyIwi9vJURJvNJq/bxY4tABjgUqmU7mnaKLvNputnjrG6nH4xRhH9EbqFgVxqDnSq0cfi+Hwj2AKKzLqW9OL4I05ENIyo9WpbW0ipVMrMsgYMfySe93dUb/n0eI09wacHXn9PK7a15vW+MPAZnVeVfRh/9ZY5GUUEgAGu6YM9envXAX1hwskaOajK6nL6hY4tIPci8YQOdMbUyOL4vCPYAoqMsTh+YmPdMT8+vK5SoWiXDnSW3guXeCKpjliXfDleHH+kMqdDv7hsmlIp6WvLVijWlcjr/WFgC0XjqnQ7Zbf3fvzV63ayPB4ABrh7mjZKkv559jiLK+m/MqdD5S6H/ARbQM7sDnYvjm+opmMr3wi2gCJjLI6f2NBDx5axQL4ET0YMpNvrqz3534Fx3sh6fW36aXpnt18/fvGdvN8fBq5gtKvXJyIavGWuzAgjAGDg2dwa0LPv7tS04YM1fcQQq8vJCZ/HTccWkEPG4ng6tvKPYAsoMutb2uVxOjR68LFb4kfUVkqStpXgAnl/epm7Wctd7/rcmWqoLtcP/me93tvrN+U+MfCEovFe79cyeMuc6oh1KZkszZFhABjoFr3c3a11YxF0axlqyl1q5+AbIGeaA90dW40+gq18I9gCikhXIql3drdrfEONHPZjf3sPN05GLMEF8sa7kPkeRTT4yt2672/OUSyR1LXL3iCkKFGhWFevT0Q0VLqdSqWkcJxxRAAYaPZ3RPXoWx9oeG2l/mb8yVaXkzM15W75w/GS3cMK5FpLoLtji1HE/CPYAorI5taAYomkJvQwhih1L4+XSnMU0Tjpx8zjuL84cZguGX+yXv5wr/7zzS2m3S8GhlQqpVC0S94+HvFclb4+e7YAYOB5cMVmheMJfWPmGDkdxfPrlK/crVgiqQi7QYGcaPanO7YYRcy74vlJDEDrjMXxDbU9XmdEXemOIprdsWVY/MVzVFXm0i3PrtHudEsySkM4nlAylVJln3dsdV8/FCXYAoCBJNqV0P2vvqdqj0tfnTra6nJyqsbDyYhALh0cRaRjK98ItoAisr6lXZI0obHnYKum3K1qj6skRxH9YfOWxx/qRF+F7vrcmWoPx3TjH98y9b5hrVB6AbzX3ffl8ZIUirFAHgAGkife3qbdwbD+fuqppr+eyDdfefdzT3uY5x4gFw6OItKxlW8EW0ARWZs+EXHC0J5HEW02m0bUerWtLVRyOxQCJi+PP9TXpp+m6cOHaNna7Xr23Z2m3z+sEUx3XFX1cRTRCMLo2AKAgSOVSunepo1y2G267rzTrS4n54yOLT8L5IGcaA6ENaiiTGVOh9WlFD2CLaCIrG9uU2N1uQZ7PR97veF1lQpFu3Sgs7ReuFg1iihJdrtND14+TS6HXdf9fqWCEd4NLQVGx5WXUUQAKHh/fn+31rW06dKJwzKH8RQT440/RhGB3Gj2d9KtZRKCLaBIHOiMaqe/UxM/ZgzRMKKuNBfIW7E8/lCfGFqjWz71Ce1o79R3lv/FkhpgLiOY6uvyeK+7+/rBKAEoAAwUP216V5J00+xxFleSHz6CLSBnOqJx+SNxgi2TEGwBRcLYr/Vxi+MNI2q7F8hvbyutPVuZjq1y8zu2DLd+eoJOH1Ktn726SSu3t1pWB8xhBFNVfezYqqRjCwAGlHd3t2v5pmadO2KIzhk22Opy8sLoaGfHFtB/LUEWx5uJYAsoEuuN/Vq96NgaVtvdsbW9xE5GNDq2fBYue/W4HHpg7jSlUtLXlr2heCJpWS3Iv0zHlruPHVvpDq8OlscDwICw6JWNkqSbPlmc3VrSwY52Px1bQL81+9PBFh1bpiDYAorEupbuYGtiQ8+L4w0j6ro7tkptFNFYHm/Fjq1DzR51gq6ZOlrrW9r1k5fesbQW5JcRbFX2sWOrio4tABgwWkMRLVn1oUYO8uqvP3GS1eXkTSbYYnk80G/N6RMRG6vp2DIDwRZQJNa3tMnlsOv0et9xr3twx1bpjSKWuxxyD4CTSX70+bN0QpVH339hnd5vDVhdDvIklBlFzG7HVoiOLQCw3C9e36xoV1I3zBwrh714f306uDye5x6gv1oC3R1bDT46tsxQvD+ZgRKSSCa1YXe7xp3gk8tx/G/r2nK3qspcJTmKaNXi+CPVVpRp0d+co2hXUl//3UqlUimrS0IecCoiABS2SDyhn7/2nnwel75yziiry8mrmnJjxxYdW0B/GcEWo4jmINgCisCH+0PqjCU0oReL4yXJZrNpRF2lth3oKKlApT0cs3wM8VCXTRymz407UX/eslu/fusDq8tBHmS/Y4tgCwAGgt+s+VB7QxH94/TT+nzCbaExdpC2M4oI9Fuzn1FEMxFsAUVgbXPv92sZhtd6FYzG1VYi78qlUin5I3FLF8cfyWaz6f4vTpW3zKlvPr1ae9Onp6B4hGLdwVSVp48dW4wiAoDlUqmU7m3aKKfdpuvOO93qcvKu3OWQy2FXgFFEoN+Mjq2hdGyZgmALKALrjcXxvTgR0VBqC+QjXQnFE0n5BsgoouHk2kr94K/OUFs4ppv+tMrqcpBjwfRJnNl2bAXp2AIAy7zwXove3ePX5WeM0Ek1lVaXk3c2m0015S46toAcaA6EVe/19GpNDPqPf2WgCKxrzibYKq0F8sa+iIE0imj4+rmna+qwwXri7W367427rC4HOWR0bPV1x1aFq/v6HVHeNQcAq9zT9K4k6cZZYy2uxDw1Hjc7toAcaA50sl/LRARbQBFY39Kueq9HJ1T1/ofn8NruYKtUFsj70231A2V5/KEcdrt+MXeanHabFvx+ZeYkPRS+bE9FtNttqnQ7M8EYAMBcG1ra9D+bWzR71AmafPIgq8sxja+cYAvor2AkrlC0Sw0+9muZhWALKHCBSExbD4Q0oQ/7taTSG0U02uoHYseW1N1t9y/nf0Lb2zr03eVrrS4HORKKdslm695b0ldVZS6WxwOARe5p2iiptLq1pO7XSeF4QrGuhNWlAAWrOWAsjqdjyywEW0CB29DSLqlvY4hS6Y0iGh1bA23H1qH+bc4EjR5cpfte2aRVO/ZbXQ5yIBSNy+t2yWaz9flzvWVOuvcAwAK7A2EtXbNVpw6u0ufHnWR1OaYyOtv9EZ5/gGw1pxfHcyKieQi2gAK3Lh1sTWjoW7BVW+5WVZlLH7WVRrBltNXXDKBTEY9U7nLqgcumKplK6Wu/XaF4Iml1SeinUKxLVX3cr2XwMooIAJZ44PX3FEskdcPssbLb+/7GRCEzgi3GEYHsNfu7O7Y4EdE8BFtAgcuciNjHYMtms2lEXaW2tYWUSqXyUdqA4k+PIlaXD8xRRMOnTm3QV84epb80t2nRyxutLgf9FIzG5e3jfi2DNz2KWArfnwAwUITjXXrgtc2qq3Dry5NHWl2O6Qi2gP5ryXRsEWyZhWALKHDrm9vksNs09gRfnz93WG2lApF4Sbx4CUQG7vL4I/34rydriLdMdzy/Vh/uD1pdDvohFO3q84mIhsoyp5KplMJx9pwAgFmWrPpQ+zuj+tr001SZ5RsThczYRVoKrw2BfMns2GJ5vGkItoAClkymtK6lXacPqZYni+XUI2pLZ8+W8QJtoC6PP1RdRZnuueRsheMJXbvsDTp2ClQymVJHrKvPJyIavO7uQIw9WwBgjmQypUUvb5TLYdfXzz3d6nIswY4toP+a/XRsmY1gCyhg29tCCkbjfV4cb8gskG8r/pMRjRdovgG8Y+tQV5w5QheOadT/vb9bj63eanU5yEJHej9WpTvLHVvpQIw9WwBgjv/etEub9gZ0xZkjSrbTwscoItBvLYGw7Dab6r0eq0spGQRbQAEzFsf3db+WYXhdpSRp+4HiD7Yyy+MLYBRR6t6Bdv+lU1XhdujmP61SayhidUnoo1CsO0zNdhTxYMcWwRYAmOHepu7dljfNHmtxJdbJdGwRbAFZaw506oQqj5wO4haz8C8NFDBjcfyEbDu2jFHEEjgZ0VgeXwijiIYRdV7deeEZ2t8Z1b88vdrqctBHRiCV7ShiVfqxyigiAOTfX3Yd0J+37NanTx2qSY11VpdjmcyOrQjBFpCNVCqllkCYMUSTEWwBBWxds3EiYk1Wn58ZRSyBjq1AJC6bLfuQwSrXzxyjKScP0mOrP9QL7zVbXQ76IBjNUccWo4gAkHf3pk8ivnH2OIsrsdbBUxF5UwXIhj8SVzieUEN1aY4zW4VgCyhg61vaVVvu1olZ7oGoq3DLW+bU9hJZHl9d5pLdbrO6lD5x2O16cO40Oew2ff13K9VB907BMDq2vO4sl8eXMYoIAGZo9nfqibe3aUx9tS48vdHqcixV4zGWx9OxBWSj2W+ciEjHlpkItoAC1Rnr0vv7AprYWCubLbuwxmazaUStV9vaQkV/8p4/Ei+Y/VpHOuPEOv3z7HHaeiCk77+wzupy0EtGp1W2HVuVbmN5PGEmAOTT/a+9p3giqRtmjS24N8ByrYbl8UC/NAeMExHp2DITwRZQoN7Z3a5USpqQ5RiiYXhdpQKReNG/gGkPxwrmRMRjuf0zEzVykFf3vLxRb+88YHU56IVg+iTObMdfMx1bETq2ACBfOqJxPfj6Zg2uLNP8KSOtLsdy3jKn7Dab/IwiAllpDnR3bDWwY8tUBFtAgVqb3q81IcsTEQ2ZBfJFPI6YTKYUjMblKy+s/VqHqnA79fNLpyqRTOlry1aoK5G0uiQch9FpVZntjq0yOrYAIN/+a9WHagvH9E8zTle5K7uf18XEZrPJ53EV/RueQL60+NMdW1muikF2CLaAAmWciDgpyxMRDZkF8m3Fu0A+GI0rlVJBd2xJ0pzTGzV/ykit3nlAi1/dZHU5OI6O/u7YcrNjCwDyKZlM6d6XN8rtsOufzj3N6nIGjJpyN8EWkCWjY4tTEc1FsAUUqPUt7bLZpE8M7f8ooiR91Fa8HVvGi7NC7tgy3H3xZA2uLNPty/+irfuDVpeDj2GciliVdceWcSoiHVsAkA/PvrtTW/YFdfXkU3RCFb+EGmrK3fJHeO4BsnFwxxY/U8xEsAUUoFQqpXXNbTp1cLUq3P1rmz84ili8HVvGi7OaAu/YkqTBXo9+cskUdcYSWvDUm0W/9L+QZU5FzHLHlrGbi44tAMiPe1/eKEm6cdZYiysZWGrKXQpG46w9ALLQ4g/LabdpcKXH6lJKCsEWUIB2+TvVFo71e3G8JA2v7e7YKuZgq5g6tiTp6rNO0QWnNej5Tc16/O1tVpeDHvT3VMRMxxbBFgDk3Ood+9X0wR7NOa1B4/u5r7TYVKffCAxE6doC+qo50KmhVeUlf8Kq2Qi2gAK0rqVdkjSxn/u1JGlQZZkq3U5tL+JRRH8kHWwVQceW1L3Y9YHLpqrc5dA//+kt7e+IWl0SjiEU7eepiG6WxwNAvtzT9K4k6abZ4yyuZOCpKe9+vcSeLaBvUqmUmgNhNfoYQzQbwRZQgNbn6EREqTskGVFXWdQdW8Yooq+8OIItSRo5qErf++wktYai+uYzq60uB8cQzCyPz65jq8LtkHRwCT0AIDd2tHVo2drt+sRQnz5zeoPV5Qw4NekOd3+YN1aAvtjfEVU8kVRDNScims3UM207Ojp0yy23yO/3Kx6Pa8GCBRoyZIjuuOMOSdLpp5+u733ve5Kkhx56SMuXL5fNZtN1112n2bNnKxgM6uabb1YwGFRFRYV+8pOfqKamRq+//rp++tOfyuFwaNasWVqwYIGZXxZgunXpExEn5mAUUZKG13r1zm6/2sOxzLt0xcRvjCJ6imMU0XDDrLF6/O1tevStD3T1Wafo06fx4nwgMTq2st2x5bDbVeF2ZJbQAwBy4/7X3lNXMqUbZ42Tzca40JGMnaTtETq2gL5gcbx1TO3Y+sMf/qBTTjlFS5Ys0aJFi7Rw4UItXLhQt912m5544gmFQiE1NTVpx44deu6557R06VI9+OCDuuuuu5RIJPToo4/qnHPO0eOPP67PfOYz+tWvfiVJ+sEPfqDFixfr8ccf12uvvaYtW7aY+WUBplvf0qaqMpeGpxe/99eIuuJeIJ9ZHl9koZ3TYdeDc6fJbrPpn363UuE4nT0DSUesS067TWXO7J9qvW4XO7YAIIdC0bh+uWKz6r0eXXXWKVaXMyAxighkpznQKUlq9NGxZTZTg63a2lq1t3fvBgoEAqqpqdGuXbs0ceJESdL555+vFStWaOXKlZo5c6bcbrfq6up04oknasuWLVqxYoXmzJlz2HV37Nghn8+nhoYG2e12zZ49WytWrDDzywJMFYkntGlvQBMaanK2lHBEkS+Qby/Sji1JmnzyIN0wa4w+2B/UnS+ss7ocHCIYjctb5upXN4C3zJlZQg8A6L9H3twifySur597ujwuh9XlDEjG8niCLaBvWtIdWw10bJnO1GDrc5/7nJqbmzVnzhzNmzdP3/rWt1RdXZ35+KBBg9Ta2qp9+/aprq4uc3ldXd1Rlw8aNEh79+5Va2vrMa8LFKuNe/xKJFM5WRxvGJ7u2CrWBfLFtjz+SN/77CSNqKvU3S+9q3Xp/WuwXijalfV+LUN3xxajiACQC4lkUote3iSP06FrZ5xmdTkD1sEdWwRbQF+0ZEYR6dgym6k7tv70pz+psbFRDz/8sDZt2qQFCxaoqqoq8/FUKnXMzzvW5T1dty82bNjQ79voi9WrWfCM/nv2w+6uR1880OfHVE/XD+/v/iH85qYPtbqys38FDkDbmvdKkra/v0kdO039sWeamyYO0g0vdejqR/5XD3/mFDk4Yjjn+vr91t4RVk2Zo18/+21dEYWica1atYo9MOB1BCxX6I/BF3cEtPVASH8zukYfvfeOPrK6oAFq757uNzo3frhdq71hi6s5WqE/DlG81m5pkSS179qq1R0tFldjLqu/L039DW/NmjU677zzJEljxoxRNBpVV9fBEYs9e/aovr5e9fX12rp16zEvb21tVVVV1WGX7du376jr9sb48eNVVlaWo6/u461evVqTJ0825b5Q3B7ftUpSsz4/dZImn9K7x7r08Y/B4aGI9PxWdTorivJxalvVJimgWVMnq9xV7/B17gAAIABJREFUnMHW5MnSG/5X9Pjb2/RGuFLfmDXW6pKKSjY/w8O/fU+jfVX9+p46YXW71raGNX7SmYzMlDheR8BqxfAYvOn15ZKkO784S2NP8FlczcDl2HVA+r/tqqgdPOD+nxfD4xDFK77uJUltumDaFA2qNCdnGAiO/L6MRqOmNxGZOoo4fPhwrV27VpK0a9cuVVZWatSoUVq1apUk6YUXXtDMmTM1bdo0vfTSS4rFYtqzZ4/27t2r0aNH69xzz9Xy5csPu+5JJ52kUCiknTt3qqurSy+++KLOPfdcM78swFTGqNn4HJ2IKEmDKstU6XYW7ShiIBKX22GXx1ncwcBPL5miugq3/u2//6KPivT/ZaHoSiQV6UrIW9bPUcT05zOOCAD9s3J7q17b1qq/GnsiodZxGDtJS2nHVkc0rmSy/xNBKG0tgU65HXbVVRTn+pOBzNTWhS996Uu67bbbNG/ePHV1demOO+7QkCFDdPvttyuZTGrSpEmaMWOGJOnyyy/XvHnzZLPZdMcdd8hut2v+/Pn65je/qauuukrV1dX68Y9/LEm64447dPPNN0uSLrroIp1yCiecoHitb2nXKXXezGLPXLDZbBpRV1m0wVZ7OCZfef+WeBeC+qpy/fjiKbrmyde14Pcr9fQ15xf91zxQdaQXvnvL+ndggbGjKxTr0uB+VwUApevelzdKkm6io/m4Su1UxM5Yl075wR80arBXf/i78zWUxd/IUrM/rEZfOa+/LWBqsFVZWalFixYddfnSpUuPumz+/PmaP3/+UZ//85///Kjrnn322XryySdzVygwQO0JhrU3FNFff+KknN/28Fqv3tntV3s4lnlBUyz8kXjRLo4/0t+ePVJL13yo5zbu0rK123X5GSOsLqkkBdMdVv1eHp8OxoJ0bAFA1rYfCOn36z7SxIZaferUoVaXM+BVpzu2ApHSeO55e9cB7e+Mav9HUU1b9JyevuZTOT2kCaUhmUypJRjW1GG8FWkFU0cRAfSPMYaYjyfb4bWVkqTtbaGc37bV/JHiC+t6YrPZ9PPLpsrjdOjGP76lts6o1SWVpFA0xx1b0a7jXBMA0JPFr25SIpnSTZ8cSydFLzjsdlV7XCXTsbVqx35J0qdPHaod7Z2a+bPl+n/v7rS4KhSa1o6IEsmUGuj4swTBFlBA1rd0n4g4oSH3wdaIOq8kaduB4hpHjHUlFI4nMvsiSsHowdW6/TMTtScY0beeWWN1OSUplB5FrOpvsMWOLQDol0Akpofe2KKG6nJdQRdzr9WUu9UeKa1g6/5Lp+rJL89SVyKlL/znS1r8ykalUuzdQu80+7tPEG30VVhcSWki2AIKyNp8dmylg63tB4qrY8ufbqP3lUjHluGfPzlOExtq9Z9vbtFLW3ZbXU7JyYwi9nt5fHcwZgRlAIC++c+VWxSMxrXg3NPlLvJDZHLJ53GpPVwab6qs2rFfPo9LowZV6bJJw/XSgs+o3uvRjX9cpeufelNdiaTVJaIANAc6JUkNVXRsWYFgCygg61vaVOF2aNQgb85ve0R6FHFbkY0iGm30pdSxJUkuh10PXj5NNpv0T79bqUg8YXVJJSWUsx1bjCICQLa6Eknd98omlbsc+sfpp1ldTkGpKXfLH4kV/UmB/nBMm1sDmnLyINnt3WOqZw8brBU3/JUmNtTqgdc36+KHX5S/RMYykb3mQHfHVoOPYMsKBFswXTyR1N/854t69K0PrC6loMQTSb27x6/xQ2vksOf+W7dYRxEzHVslsjz+UOcMG6zrzxujza0B/fv/rre6nJJiBFGV/d6xZXRslca75gCQS0+t/0jb2zr0t2eP0qDKMqvLKSg+j1upVPE//6ze2T2GOPmkQYddPqy2Ui9f91ldNPZEvfBes85bvPz/s3fn0VHW1//A38/sWzKTlWwkERDCFgigAoqKYgXRui+1dlVbrVbtamttf3ax1vZUq1Zrrd/W1rq0Um1tFdDiAlZQEkISliRsCUkmIcvs+/b8/pj5TEASss3Ms8x9neM5FZKZT2XIPHOfe98XR4bcQhyRSESvM96xVZZLo4hCoMIWybi2fide39uNV5o6hT6KpLT1OxGOxtKSrwUAhUYtDBql/EYRE3fYsiU8/pN+um4xKvOMePidPdjTaxf6OFmDjSLmTHkUMf79XurYIoSQCeF5Ho++vw8cB9x97lyhjyM57LpJ7uOIDV02AMCyyoKTfi9Hp8Y/v3w+7j63BvuOObHi8Y3Y3jGQ4RMSqWAdW2UUHi8IKmyRjGvtdwEAhrwBgU8iLc2J4PjaNBW2OI5DdZ4JHXZ5dWyx4NNsG0VkTFo1fnvVmYjEeHz1lR2IxignIhO8oRRtRWQZW1TYIoSQCdneMYCPjw7h0nkVmF2UK/RxJIddN8l9M+LOrkEAwLKKkwtbQHxD5COXn4HfXn0mbL4QLvzdW3i58Ugmj0gkgmVsUXi8MKiwRTKufYAVtuT9RplqLYng+IVpCI5nqvJNcPhDsrqIcfqzMzz+eOvnVeC6xVXY0TmI3394QOjjZAVWiJpyxlbi+920FZEQQibk0a37AQDfOG+ewCeRpuGOLflcE46koXsIhUYtKhNZs6O5feUc/PvmC6BVKfHZv36An77VTBsTyQn6XH7o1cqsvZkuNCpskYxrYx1bvqDAJ5GW5sQY2cJSS9qegwXId8ooQN6Z5R1bzKOXnwGLXoP73mxEt0NeXXlilBxFnOLrLhkeL/OME0IISaXDQ278s6ULSyryce6MYqGPI0mssMWuo+RowBNAh82LZdMLwHHcmF9/cU0ZPvj6WlTnG/HA5iZ8/sX/0XIekmR1+VGWaxjXa4mkHhW2SMa19TsBxO8A0frc8WvpdaDCbEC+IX3hp3IMkGcdW9mascWU5Orxy8uWwB0M485XP6a7jGmWso4tGkUkhJAJe2JbK2I8j3vOnUsfMifJrGejiPK9scKC45dNH3kMcSTzSyzYftc6rKgqwou7juCip9/GgIfiVbJdJBrDMXcAZbQRUTBU2CIZxfM82hKjiABgo66tcRnyBtHj9KV1DBGIjyICwFFZdmxld2ELAL585iycP3Ma/r23G6+2HBX6OLLGOqymnLGVKIxRYYsQQsbH4Q/hjx8fRLnZgOsWVwt9HMlKdmzJeBSxoWvihS0AKM7R47+3X4Qb6qrxYccAVjy2Efv6HOk4IpGIfk8AMZ5HKQXHC4YKWySjjrkDcAWG7/wM+eT7ZplKbAxxUZoLW2wUUU4dWywbgt15zGYcx+F31y6HVqXAXa/ulH1uhpBYISplWxFpFJEQQsbl2R0H4AlG8PVzaqBW0kedyWI3BB0yHkXcOcnCFgDo1Er89bPn4EefqsURmwfnPLEJb7dZU31EIhHDGxEpOF4o9NOeZBTr1lIk2sIHaTPiuCSD49OYrwUcN4ooq44tGkU83uyiXNx/US363H58/41dQh9HtjyJjC3jFEcRlQoF9GoldWwRQsg4hKMxPLGtFUaNCrcsnyX0cSQtG8LjG7qGUG42oHSSxQiO4/D/Ll6E5z97DvzhKNY/+w6e/rA9xackUmB1JjYiUseWYKiwRTKqNZGvxQo0Q14aRRwP1rFVW5rejq1CoxZ6tRKdMurYYi30uVMcCZOTb58/DwtKLHhm+wFsO3xM6OPIkicYgUapgEalnPJjmbQqeEJU2CKEkLFsaOpEt9OHL505E3lpzCTNBpZEp7tTphlbVqcPVpcfSyvyp/xYNy45DVtuvwj5Bg3u+MdH+Oa/diIaoxzhbMI6tkrN1LElFCpskYxqT2xEXFldBIA2I45XS68DGqUCs4ty0/o8HMehOt+EDpu8OrZMWhVUNI6QpFEp8fS1y8FxwG2v7EAwQht9Us0TCiMnRcVUk0ad7AAjhBAyMp7n8Zut+8FxwF2r5gp9HMmzyHwUsT4xhnhGZWFKHm/lacXYftc6zJtmxmNbW3Hln96j9+4s0uuiji2h0Sc9klFsFHEFK2xRx9aYorEY9vQ6ML/EkpHiTFWeEXZ/SDZhoQ5/iILjR7Ciugi3r5yD1n4XfrFlj9DHkR13MJLMx5oqk1YFN40iEkLIKX1wpB/1XUO4fMF0zCzMEfo4kmeWeXg8K2wtrZh4vtZoTivIwQdfX4s1s0vxxr4enPvbzeiyy2cKgozO6kxkbFHHlmCosEUyqq3fiWKTLnnBQYWtsR0cdCMQiaY9X4thOVudMnkjdgZCMOtoDHEkD16yGOVmAx7asoe2+aSYJxhOXWEr0bHF83xKHo8QQuTokff2AQC+ce48gU8iD2qlAgaNUrYZW/XdrLA19VHE45n1Gvznlgvw1RWz0WS1Y8XjG5NFNCJf1kTHVmkOdWwJhQpbJGOCkSg6bF7UFOei0BjPPaBRxLE198YLDrVp3ojIVOclAuRlMI7I8zycgTAFx48iV6fBb686E+FoDLe9sgOxGBVOUsUTjKRsFNGoVSES4xGKUl4HIYSM5MCAC//e140zKwtw9mlFQh9HNiw6DRwyzNjieR71R4dwWr4JhSZdyh9frVTgyavPxCOXL0Of24/zn9yMV5uPpvx5iHj0uvwwaVXIoZvpgqHCFsmYg4NuxHges4tzUZAI9Bykjq0xDW9EzExhqyrfCADolMFmRG8ogmiMRy69yYzq0wum46raSvyvYwDP7Dgg9HFkIRSJIhSNTXkjIsM6v2gzIiGEjOzxba3geeCec+eBS2zeJlNn0WvglGHGVqfdiyFfEEunp24M8ZM4jsPd587FP7+8GgqOw7V/fh8Pb9lD3dcyZXX5UDbJ7ZokNaiwRTKmLREcP6fIDLNOAwXHwUaFrTE1WdlGxMyOInbIYDOiMxC/y0gdW6f2+JVnwKxT4/tv7EquKyaTxzYYmlLUscU6vyiElhBCTmbzBfHczoOozDPi6tpKoY8jKxa9Bg5/SHbFmJ0sOD6NhS3m0nkV2Pb1i1FhNuC+Nxtxy9+2I0RLe2QlFIliwBOk4HiBUWGLZExbvxMAMLs4FwoFhwKjhkYRx6Gl146SHD2KMzSzXZ0X79jqkEHHFsuFoPD4UyvNNeChS5fAFQjjrtd2Cn0cyWOdVanbipjo2ApRxxYhhHzSH7YfgC8UxdfPqaENyCmWq1MjEuPhk9n7TwMLjs9AYQsAFpXlY8c967BsegGe23kI657ZAht9BpKNPncAAFBKhS1B0U9/kjFsI2JNcS4AoMCgpVHEMTj9IXTavRkLjgeAIpMOerUSnXLo2EoWtmgUcSy3nnU6Vs0oxmstR/HPFsqBmAp3orMqdVsRqWOLEEJGEopE8dsPWpGjVePms2YJfRzZYR3vjoC83n+Sha0UB8efSmmuAe9+7VO4qrYS7x06hpWPbcSBxGcjIm29ieB42ogoLCpskYxp73dBrVQkw8kLDFrYfCEKrD6FlgwHxwPxTIDqfJMswuNpFHH8FAoOv7tmOTRKBb7+6sdwyTBTI1NYAcqU4owtN2VsEULICf62uxNWlx83nzULZnqvTzl2/eSU0WbEWIxHffcQ5hTlIjfDHf0GjQp/+9y5uPeC+Tgw6MaKxzbivYN9GT0DST2ryw8ANIooMCpskYzgeR6t/U7MKsxJtokXGLWI8bwsQylTpaU3s8HxTFWeEXZ/SPLFDTaKmKunjq3xmDvNjO9fuABWlx/3vdEo9HEkKzmKmKJOweQoInVsEUJIEs/z+M37+6DgOHx9VY3Qx5GlZMeWjApbB4fccAXCWFaZmTHET1IoOPx8/RI8e/0KeEIRrH1mC/708UFBzkJSo9cZL2yVUni8oKiwRTKi3xOAMxDGnMQYIhAvbAG0GfFUmhOFrdqyzI0iAsMB8p12aY8jJju2KGNr3O69cAHmTjPj6e3t+PBIv9DHkSR3iju2jGwUUWYZJ4QQMhXvHTqG3VY7rqqtTF63kNRi109yGkXceXQQALCsQpjCFvOlM2dh81fXIEerwi1/24773thFUywSZU2OIlLHlpCosEUyYngj4nGFLUO8sEUB8qNrsTqgUnCoKTZn9HnZuKjUxxGTGVs0njBuWpUST1+zHDwP3LZhB23umQRWgDKmOjyeRhEJISTp0ff3AQC+cd5cgU8iX6zjXU4dWw3d8XytZRkKjj+V82ZOw4d3rcPphTl4+J29uP75rbIL6s8Gw6OI1LElJCpskYxgwfGzi4YLNIVGHQBgiDq2RhSL8Wjps6Om2AytSpnR565MbEaUeoA8G3Ol8PiJOWdGMb66Yjb29jnxy3f3Cn0cyWEFqFRnbHlpFJEQQgDEN22/sa8HK6qKsLyqSOjjyBbr2JJTxlb90SEoOA6LyzMXHH8qpxfl4sO71+H8mdPwavNRrH7qrWQYOZEGqzP+50VbEYVFhS2SEW39TgA4YRQx3xh/s6RRxJF12D3wBCMZ3YjIVOcbk2eQMgqPn7yH1tehNFePB99uSf79JePDsrBSlbGVQ6OIhBBygt9s3Q8AuIe6tdIqGR4v8cxVJhKNodFqw/wSMwwpuvmUCvkGLTZ+5UJ88YyZqO8awvLfbEST1Sb0scg49br8sOg1onpNZSMqbJGMSI4iFp88imijUcQRNVlZvlZmg+OB4YytDol3bLHWeerYmjizXoPHrzwToWgMt72yg3IfJiD1HVvqEx6XEEKy2aAngL/sPIzT8k24cuF0oY8ja5bkKKI8Oob39zvhC0VFMYb4SRqVEs9evwIPra9Dt9OHVU9sxr/3dgl9LDIOVpePNiKKABW2SEa0D7hQZNIiP1HMAoZHEalja2QtAha2ik066FRKdFLHVla7qrYSly+Yjq2H+/FH2tgzbp5QIjw+1RlbIXl8sCCEkKn4/fZ2BCJR3LWqBkoFfZRJJ7NOXlsR67vi+VpLRVjYAgCO4/DdCxbglS+chxjP48o/vYfHtu4Hz9PNRbEKhKOw+UI0higC43o34HkeQ0NDGBoaor9YZMKCkSiO2DyYU3RiADrbikgZWyNr7nUAAGpLM1/Y4jgO1flGWYTHKxUcjNQaPGlPXHUmcrRq3PufXehLhGOSU2NbEXO0qc3YcstoKxUhhExGMBLFk/9rQ65OjS+dOUvo48geuzEot8LWGdMLBT7JqV1VW4n37rgYJTl6fPNf9bjjHx8jHI0JfSwyApaHVkrB8YI7ZWGrubkZd9xxB5YuXYpLL70U69evx7Jly3DnnXeiubk5U2ckEndo0I1ojMfs4zYiAkCBIf5mSVsRR9bSa0eBQSvYHYCqfBNsvhBcEs5VcAZCyNWqwXGc0EeRrHKzAQ+tr4PDH8Ld/9wp9HEkITmKmKqOLcrYIoQQAMBLuzpwzB3ArctPT1mOIRndcMaWPG6sNHQNQa1UCJJfO1HLphdgx93rsKgsD7/f3o5Ln31HNgVGORneiEgdW0IbtbD12GOP4eGHH8aVV16Jbdu2Yfv27dixYwe2bduGK664Ar/4xS/w+OOPZ/KsRKLYRsSa4hMLW2wskTq2TuYJhnFoyI3aMotgRZnqvHjOVqddujlbTn+YxhBT4KsrZmNldRE2NHVS3sM4pDpji3UceiljixCSxXiex2+27oNSweHOc2qEPk5W0KmV0KoUstiKGIpE0WS1Y1FZXsa3jU9WhcWIrXdejPXzyvHf9l6c88QmHB5yC30scpxkYctMhS2hjVrYslgseOGFF7BmzRoYjcbkrxsMBqxZswYvvvgizGbzaN9OSFJ7Ijh+9icKWyqlAha9hgpbI9jb5wDPAwsFGENkkpsRJTyO6AiEKDg+BRQKDk9fuxxqpQJ3/uNjGokbgzeZsZWawpZaqYBWpaCMLUJIVvtvey9aeh24dlEVKvOMY38DSQmLXiOLTqGWXgdC0RiWVogzX2s0Jq0ar33pfNxz7lzsP+bEisc24n9H+oU+FknoddIooliMWtj6whe+AAC45557Rv1m9jWEnEprvxMAMKf45EJogUFLo4gjYPlaQha2qljHlkQ3I0aiMXiCEerYSpH5JRbce8F8dDt9+OGm3UIfR9TcwQj0amVKQ41NGjVtRSSEZLVHt+4HAHzjvHkCnyS7mHUaOCQcS8HUd8fztcS4EXEsSoUCv758GZ665izY/SGs+d3beHHXEaGPRUCjiGIy5lV3RUUFNmzYgEOHDqGrqyv5DyHj1T7gglqpwGn5ppN+r9CoxaA3SEsJPkHIjYgM69iS6iiiKxHgnUsdWynz/QsXYk5RLn77QSs+6hwQ+jii5QmGU9atxeToVJSxRQjJWnv7HNjcasWqGcWSLExImUWvlkXHVv1R6Ra2mK+umI03brkAerUSn3vhA/x4cxN9hhJYb3IUkTq2hDbmlfebb7550q9xHIctW7ak5UBEXnieR1u/CzMLTFArT66j5hu1CCc6aygEdFhLrx0KjsP8EuHGfasThcgOuzRHEVkehJk6tlJGp1bi6WuXY/VTb+Grr+zAzm+sH/HvdbbzBCPISVFwPGPSqGFNbN4hhJBs81iiW+uec+cKfJLsY9ZpEIzEEAhHoVNLI5tqJA3dQ9CrlZg3TdpROhfNKcP/7lqHy559Bz95qxntAy783/UrJf1nI2XDWxGpY0toYxa23nnnnZN+raGhIS2HIfIz6A3C7g9h1YziEX+/gAXI+4JU2ErgeR5NVjtmF+VAr05t18dEFJt00KmU6JRoxhbb4EOjiKl17sxpuGX5LDy74yB+/d5efO/ChUIfSXTcwTCqDCd3qE6FSauiUURCSFbqd/vx14bDmFmQg8vmVwh9nKwzvBkxBJ1amh/efaEI9vQ5cFZlIVQyuCE3d5oZ2+9eh6v/9B5ebuxAp82LV790HopzpPnnI2VWlx8FBq1kFhLI2Zifmj0eD/71r3/Bbo+PRoXDYfzjH//ABx98kPbDEek7Vb4WEB9FBOIFsOoRRhWzUZfDB2cgjE/NKRP0HBzHoTrfiA6JZmyxtnkKj0+9X6xfgn/v7cZP3mrG1bVVOL0od+xvyhI8z8MTiqR8FNGoUSEUjSEUiUJDF0+EkCzyuw/bEYzEcPe5NSnNLiTjY9bHr6Mc/hCmSbRw0mS1IxrjsVTCY4ifVGTS4a3bLsKtf9+OF3cdwYrHN+L1my/A/BKL0EfLKlanj5ZZiMSY7w733HMP2tra8Oqrr8Lr9eLdd9/FAw88kIGjETloS2xEnFM88gffgkRhizYjDmvuFT5fi6nMM2HIF5TkFjzq2EqfPIMWj115JoKRGG7fsIPyHY4TjMQQjfEwpXoUMfF4lLNFCMkm/nAEv/uwDXl6Db54xkyhj5OVLLr4dZSUc7bquwYBSDtfayQ6tRJ/ufFs/HjtInTYvDjniU3Y3GoV+lhZwxsMwxkI00ZEkRizsBUMBvGTn/wE5eXluPfee/GXv/wFGzduzMTZiAy0DyQKW6N0dOQfN4pI4lhw/MJS4e+4DAfIS28ckV2AUXh8elxTW4n188rx7sFjeG7nIaGPIxruxNKCVHdsscejcURCSDZ5oeEIBjxBfGXF6TCm+IYBGZ/hUUTp3eRk6rtsAIBlFfIqbAHxCYv7L6rFCzedg2Akisv+7x387sM2oY+VFXrdtBFRTMYsbIXDYfh8PsRiMdjtdlgsFtqKSMZtvKOIQ95Axs4kdsmOrVLhO7aq81iAvPTGEV2J1dTUsZUeHMfhyavOgkmrwndeb8CxxJt7tvOwwpYmxYUtjfqExyeEELnjeR6/2bofKgWHO86pEfo4WYtdR0m9YytHq8ZsGUcn3FB3Grbc/inkGzS48x8f4xv/3IloLCb0sWTN6mQbEamwJQZjFrYuv/xy/P3vf8e1116LSy65BOvXr0dBgfyq3SQ92vtdKDRqkyOHnzQ8iijdN8tUa+l1IFenFsW8dhXr2JJggDy7s2jWUWErXabnGfHgujrY/SF881/1Qh9HFNioYKq3Iuawji0aRSSEZInNbVbsP+bE9XXVKDfTqI9QzBIvbLkCIbQNuLC0Ih8KBSf0cdJqRXURdtx9CeaXmPH4tlZc8cf3JBknIhVsW3UZjSKKwpi3lD/zmc8k//eKFSswNDSEefPmpfVQRB5CkSgO2zxYXlk46tcU0CjiCQLhKNr6XVhZXQSOE/7NlwX6SzFAnsLjM+P2s2fjxV1H8HJjB25aOgPr5pYLfSRBsQvI1I8iUscWISS7PPr+fgDAN86lzx1CYtdRTr80338ae+zgefnla42mOt+EbXeuxQ3Pb8Ob+3tw7m834183rxbFDXO56XXFO7ZKaRRRFEa98n7sscdG/aa3334bd999d1oOROTj8JAH0RiP2aMExwPHb0WkUUQA2HfMgRjPiyJfCzh+FFGCHVt+Co/PBKVCgaevXY4zHn0DX/vHR2j5zmUpD06XEtZRlfrweMrYIoRkj2arHf9t78XqWdNQV5Ev9HGyWnIUMSDNjq36o/HgeDltRByLWa/Bv29ejW/8qx5P/a8Nyx97E//68mqccYpmAzJxw6OI1LElBqOOIiqVylP+Q8hYkvlaRSPnawG0FfGTmlhwvAg2IgLAtBwddCqlJEcR2QUYdWylX21ZHr69ej6O2r34f5uahD6OoFjhKSfFHVtGDY0iEkKyx2+2xru17jmPurWElgyPl+goYn33EADgjCwqbAGASqnAE1ediceuOAMDniBWP/UWNjR1Cn0sWWGjiKU51LElBqNeeX/ta1/L5DmIDCU3Ip6iY0urUsKkVcHmk+abZaq1JILjF4mksMVxHKryjJIcRWQXYGbq2MqI+y9aiA1NnXh8WytuqKvO2ruCbCuiUZPqji31CY9PCCFy1evy4cVdRzC7KBeX1GT3eLsYSD08vr5rCAUGbTJeI9vcuaoGMwpz8Jnnt+L6v2zFg5csxr0XLBBF5InUsVHEEhpFFIVRO7bmzZuH+fPnn/QP+3VCxtLWP3ZhC4jnbNEoYlyL1QEAWFAijlFEAKjKN2HIF5Rcto8rEIZOpYRWRR2mmaBXq/D0tcsR43l89ZUdCEezcxMe1z0jAAAgAElEQVSPN8hGEVO9FVF1wuMTQohc/e5/7QhHY7j73LmyD/uWAtb57pBgCLnNF8ThIQ+WTi/I6kLOJXPLse3OtZhuMeAHb+7Gl1/+EKFIVOhjSZ7V6UOxSQe1csx9fCQDRr3ybm1tzeQ5iAy1D7igUnCYUZBzyq8rMGqTY4vZjOd5NFntmFmQI6qMomq2GdHuxXwRFdzG4vCHYNaL579jNlg9qwRfPGMmntt5CL95fz++c0H23QTxhFh4fLoytqT3wYIQQsbLF4rg6Q/bkW/Q4PPLZgh9HIL4KLxSwUlyFLG+Kz6GuGw65bTVluVhx92X4Mo/vYu/1B9Gh82DDV88f9TN9WRsVpcfpxee+nMuyZwxy4terxdPPvkkbrvtNtx+++145plnEAhQdw0ZW2u/EzMKcsasYhcYtPCFovCHs7sToc/tx5AviIVl4ioeJQPkJZaz5QyEYdHRGGKm/erTS1Fk0uKBzU04NOgW+jgZx0YFU52xldyKSBlbhBAZ+0v9YQz5grht5WwYNKn9OUomh+M4WHQaOCUYHt+QKGwtrciufK3RlOTq8c7XPoVrFlVh6+F+rHx8I9qouWBS3IEwvKEISik4XjTGLGz98Ic/hMfjwQ033IDrrrsOAwMDuP/++zNxNiJhg54AbL7QmGOIAAXIM82JMcTaUnHkazFVrGNLYjlb1LEljHyDFo9efgYCkShu37ADPM8LfaSMYuHxphRnbOWwwhaNIhJCZCoW4/HY1v3QKBW44+waoY9DjmPRa+DwS69jeGeisJWtuZ8j0atVeOmmVbhvzQIcHHTj7Mc34d2DfUIfS3JYcHwZ5WuJxpiFrcHBQdx77704//zzsXr1avzgBz/AsWPHMnE2ImFtLDi+aByFLUOisOXL7sIWC45fKLLCFgvb7LBLp2MrEI4iFI3BTB1bgrihrhpra8qw5UAfnm84LPRxMsqT5owtNupICCFy82ZrD9oHXPjMktMojFlkLHq1JMPjG7qGUJKjp+LDJygUHH66rg5/+sxKeEIRrP39f/HHjw4KfSxJsSaC48tyqWNLLMYsbPn9fvj9/uS/+3w+BIPZXYAgY2OZWbPH0bFVmOjYGvRk9+uqOVHYqhXZKGJVXrxjS0qjiKxdnjYiCoPjODx19VkwaJT49r8aMODJnvH14VHEdGVsUccWIUSefvP+PgDAPefOFfgk5JPMOg28oYikFsP0ufzodvqwLMuD40/l88tm4q2vrkGuTo1b/74d3/vPLsRi2dVpP1lWZ7xjq9RMRVOxGLOwdf3112PdunW48847cccdd2D9+vW48cYbM3E2ImHtiY2INcXmMb82OYqY7R1bVgcMGiVm5IsrhHCaSQ+tSoFOu3RGEdldRbbJh2ReVb4JP127GEO+IL71er3Qx8kYloGV6o4to4bC4wkh8tXYbcO7B4/hwtNLUFsmrs51MnyjUEoB8vXdLDie8rVO5dyZ07D97nWYXZSLX727F9f+5X146VpjTL3Jji0qbInFmIWta665Bi+99BKuuOIKXHXVVXj55ZdxxRVXZOJsRMImMoqYT6OICEWi2N/vxMKSPNGttlYoOFTlmSTWsRV/Q7ZQx5agvr6qBsumF+CFhiPY3GoV+jgZwS4GDerUFrY0KiU0SgV1bBFCZOk3W/cDAL5x3jyBT0JGYklklrLrKylo6KLC1njNKszFh3etxQWzSvDPli6c/9RbyY4kMrLhjC0aRRSLUxa2fD4fXnrpJTzzzDPYsWMHXC4X8vLoLgoZW3u/C/kGDQpNujG/tpDC49Ha70I4GhPtXcqqPCMGvUHJdItQx5Y4KBUK/P7a5VAqOHztHzuy4g6gJxSBSatKS4HapFVRxhYhRHZ6nD683HgE86aZsbamTOjjkBGwG4VSytnaSYWtCckzaPHmVy7EzWfNwq5uG5Y/thGN3TahjyVaVmeiY4tGEUVj1MKW1WrFpZdeil27dmHWrFkoLCzExo0bcdlll6GvjzYnkNGFozEcGnJjTtHYY4gAbUUEjsvXEllwPMMC5KUyjkgdW+KxuDwf3zxvHjpsXvz4rWahj5N27kA45RsRGZNWTR1bhBDZebHhCCIxHl9fVUNZSCLFlvFIpbDF8zwauoZQlWdE0ThuspM4tTJ+Q/KXly6B1eXDeU9uxut7uoQ+lij1uvxQcByK6fUlGqMWth599FHcdddd+NWvfoXPfvazuO222/DMM8/g1ltvxc9//vNMnpFIzOEhNyIxHnPGERwP0FZEAGixJjYiiiw4nqnOl1aAPMuAyKWtiKLwo0/VYkaBCY++vx/7jzmFPk5asY6tdDBpVFTYIoTIDstCungOdWuJFRtFdASkUdjqcvjQ7wlgKXVrTRjHcfjW6vnY8IXzwIPHVc+9h0fe2weep1D541ldPpTk6KBUjJnsRDLklB1bI2VpXXPNNejo6EjnmYjEtSWC48db2EpuRczqji0HAGChSDu2qvISHVs2iXRs0SiiqBg0Kty3ZiFiPI8t7b1CHyetPMFIyjciMjlaNY0iEkJkZ3ePDXl6DSoTW5iJ+JglNopYnxhDPIMKW5N2xcJKvH/HxSjN0eM7/27A7Rs+ktRWzHTieR5Wpx9lZsrXEpNRC1tKpXLUbzKbxzdiRrITK2zNHkdwPBD/0KtVKWDL4sJWS68dlXlG0Y7OsVHEDrtEOrZoFFF0zqosBADs6pFvXgPP8/CEwunr2NKqEIzE6MKSECIbrkAIBwfdqCvPpzFEEbMkOuBdEgmPr+8aBAAsraDC1lQsqSjAjnsuQV15Pv6w4wDW/2GLZIqb6eTwhxCIRFGSQ/laYjJqYSsYDKKrq2vEf0IhekGT0bUNxEeN5hSPrwDKcRwKDNqsHUUc8ATQ6/JjYak4xxCB4VFEqWRsJcPj9dSxJRZzinOhVytlHUTqC0XA84BRk57CFntcb4jGEQkh8tCUiGJYXJ4v8EnIqUgtPJ51bNEo4tSVmw14745P4dPzK7DlQB/OfnwjDg26hT6WoKwuCo4Xo1GvvgcGBvDFL35xxHlauqNCTqW93wWlgsPMAtO4v6fQqJNMN1CqtYg8OB4Appn00KoU6JRKxhbr2KKMLdFQKhRYVJaH+q4hBMJR6NSjdwVLlSdRcErXKKIp8bieYJi6EQkhsrA70cW7uFy810Bk+EahFApbPM+joduG0wtz6L0yRUxaNTZ88Tx8/41G/Pq9fVjx2Ea8+qXzcc6MYqGPJgir0wcAKMulUUQxGbWwtWnTJmg0p/5hEA6HoVZTRwQ5UduACzPyTdCoxv/BtcCoQXNvGOFoDGpldoXwtYg8XwsAFAoOVXkmyRQfhzu26IJGTOrK87GjcxB7+hyyXL/tDsYLqukcRYw/D3VsEULkobEnfnOvjjq2RM2S3Ioo/lHEQ0NuOPwhrK2hZQSppFQo8MvLluL0olzc+Y+PcNHTb+MP16/ATUtnCH20jGMdW6W51LElJqNWEG699VYcOXJk1G88dOgQbrnllrQcikjXkDeIQW8Qs8cZHM/kJzYj2rJwHJG14S8qE29hCwCq8owY8AThDYr/osaV2NqTk6YCA5mcuor4B5ddiQ1YcsM2FprS1bGlGe7YIoQQOdjdY4NerRz3wiEiDNb55JTAVsSdRyk4Pp1uXX463rz1QujVSnzhxf/hRxt3IxbLro2JfclRROrYEpNRP/Xdf//9+OY3v4mSkhKsWrUKpaWlAIDe3l5s27YNx44dw8MPP5yxgxJpaOuP52vVjDNfiyk06gDENyNOy7IgvpZeO3QqJWYV5gh9lFNiAfKddi/mlYg3DwyIjyLm6tS0gldklpTHLzIbZRogzwpb6Sqoso4tD2VsEUJkIBiJYm+ig5fer8UtR6sGxw1vnRazhm7K10q3C2eX4sO71uGy/3sHD/63BQcGXfjjDSuhV2fHDWWri40iZtdnVrEb9dV3+umn49VXX8WWLVuwdetWvPfeewCAkpISXH311bjwwgspa4ucpG1gYhsRmQJj/E7QUJZtRoxEY9jb58CCEgtUIh/BrEqs4e6QQGHL4Q/BrKMxabGZX2KGWqlIZqrITXIUUZOujq1EYYs6tgghMrCn14FIjKfgeAlQKDjkatWSGEVs6BqCguNovDXNaqaZsf2udbj6uffx992dOGr34tUvnZ8VDQrJ8HgqbInKKcuqHMdhzZo1WLNmTabOQySurT9e2JpoS3lBYhQx2zYjHhh0IxiJiTpfi6liHVsSCJB3BsKYbqH2YLHRqJRYUGJBk9Uuyzw91kmVtowtHRtFpI4tQoj0NSaD46kAIQUWvQYOkY8iRmMxNHTbMHdabtpiAciwQpMOb922Bl/5+w78teEwVjy2Ea/fvBoLJPC5Zip6nX6oFFxy4oiIg7w+VRDBsVHEORPu2BoeRcwmzYl8rVqR52sBQDXr2BJ5YSsW4+EMhGCmjYiiVFeej2AkhtbEzwo58STD49PcsUWjiIQQGWDdu9RZIw0WvUb0WxHb+l3whiJYNr1Q6KNkDa1Kiec+sxI/WbsInXYvznliMza19gh9rLSyunwozdVDoaDpNTGhwhZJqfYBF/L0GhSZJlbBLjAmwuOzrLDV0hsvbC0sFfdoHzCcsdVh9wp8klPzhMLg+eHV1ERcliQD5OU3juhJ+1bE+GtaCgscCCFkLLt77FAqOCwQebwBibPoNXAHw6IOCt/ZFc/XWlZB+VqZxHEcfnBRLV763CqEozFc9uy7ePKDVqGPlRY8z8Pq8qMslyZDxGZCha1QKITe3t50nYVIXDgaw6EhD+YU5044f63AkMjYyrJRxOZkYUv8HVslOXpolArRjyI6E/kP1LElTmwzohxztpJbEdOcseWmUURCiMRFYzE09dowb5oZOrVS6OOQcTDr1OB5wCXimysNXSw4nroAhXDd4mq887WLUGjU4q7XduLu1z5GJBoT+lgpNeQNIhyNodRM+VpiM+Zt5d///vcwGAy45pprcPXVV8NoNOLss8/GPffcM6knfP311/Hss89CpVLhrrvuwpw5c/Dd734X0WgURUVF+NWvfgWNRoPXX38df/7zn6FQKHDdddfh2muvRTgcxve+9z1YrVYolUo89NBDmD59OlpbW/HAAw8AAObMmYMf//jHkzobmZojNg/C0diEg+OBE7ciZpOWXgdKc/UT7nATgkLBoSrPiA67uAtbLP+BwuPFqbY0DwqOk+VmxLRnbGkpPJ4QIg8HBtzwhaKUryUhZn38hqHDH4JFL86bh/VdQ1ApOCwqo9eVUM6qKsKOu9fh0//3Ln77QRsODrrx0udWIVcmN5yHg+OpY0tsxuzYevfdd3HTTTdh06ZNWL16NV555RXs2rVrUk9mt9vx5JNP4sUXX8TTTz+NLVu24PHHH8eNN96IF198EVVVVdiwYQN8Ph+efPJJPPfcc3j++efx5z//GQ6HA//5z3+Qm5uLl156Cbfddht+/etfAwAefPBB3HfffXj55Zfh8Xjw/vvvT+p8ZGpYvlZNsXnC38tGEbNpK6LdF8RRu1cS3VpMVb4JA56gqEehWMeWWC+6sp1Bo0JNcS4ae2yiHmeYDHcg/trLSVfGVuJxKWOLECJ1jZSvJTmW4wpbYhSOxrDbasPC0jzqAhRYVb4J275+MdbWlGFTqxWrntgs+omP8bK6fABoI6IYjVnYUqlU4DgOW7duTW5HjMUm11K4fft2rFixAiaTCcXFxfjpT3+Kjz76CBdeeCEAYPXq1di+fTuampqwcOFC5OTkQKfTYcmSJdi1axe2b9+Oiy66CACwcuVK7Nq1C6FQCD09PaitrT3hMUjmtSc2Is6e4EZEIN5do1RwsGXRKGJLrwMAsEgCwfFMdX48QL5TxDlbwx1bVNgSq7qKfHiCERwccgt9lJRKe8cWC4+nUURCiMTtpo2IkmNJXFc5A+K8ubmn14FgJIZl0ylfSwxydRr868urccfZc7Cnz4EVj2/ER50DQh9ryqzOeMdWKXVsic6Yha2cnBx85StfwaFDh1BXV4d33313wvlJTHd3NwKBAG677TbceOON2L59O/x+PzSa+A/KgoICDAwMYHBwEPn5w290+fn5J/26QqEAx3EYHBxEbu5wIYU9Bsm8toF4YWuiGxGBeOhggUGbVaOIUgqOZ6rz4gHyYi5sORN3Eik8XryWlLMA+SGBT5JayfB4TXrD4z0hcX6oIISQ8WIdW4sldHMv21kS11Vi7diq72b5WlTYEguVUoHHrzoTj195BgY8QVzw1Nv4++4OoY81Jb2Jjq1S6tgSnTGvvn/961/jww8/xJIlSwAAGo0GDz/88KSf0OFw4Le//S2sVis+//nPg+eHR1GO/9/Hm8ivj/a1I9mzZ8+4vzYVGhoaMvp8mVZ/uAcKDnAePYCGnokv3DQqYjjm8sr+vxPzTrMVAKBy9KKhwZ6R55zqf9uYMz5uurVpH4p9fak4UsrtaY9fLNt6u9HQIK+OILkweOOF0U0N+3F6TDpZW2P9/bEOxC+qD+zbgy5V6pcOh6Px97feAVvW/JwkJ6I/dyK0VLwGeZ7Hzs4BVJjUOLivJQWnIplgPxa/Vt29vx0VwX5BzzLS63DTrvh1tcnTj4YGV6aPRE5huR545LwK/OCDHnzm+W14v6kVX5pfOOlmGSE1HYov0nP0HEGDl5bqHU/oa5QxC1sqlQp9fX344x//iG9/+9swmUwoKJhcJbygoAB1dXVQqVSorKyE0WiEUqlEIBCATqfDsWPHUFxcjOLiYgwODia/r7+/H4sXL0ZxcTEGBgZQU1ODcDgMnudRVFQEh8OR/Fr2GOOxYMECaLXaSf1/maiGhgYsXbo0I88lFOvrhzCjIAcrzjxjUt9fsWMQHUf6sbiuDkpF6j8Uik3vB/1QKxW48rzl0KjSnwWQitdgML8f+LAHvKkAS5cuSdHJUustewuAPiyeNwdLa8qFPg4ZwUx/CLdv6YQ1opbMz8Xx/P1RfDgABefDyjOXpe1iTb2hDQqtQTL/3UjqZMN1BBG3VL0Gj9q9cIX246KacnpNS0in+ijwUS/yppVh6dK5gp1jtNdh5/t90KmUuGb1CqiV8v8cITVLlwKrl9nx6f97F083D8CrycHvr10ObQY+A6VSuOldAHasWb4smRFNTv57GQwGM95ENObf+gceeABdXV346KOPAAB79+7F9773vUk92TnnnIMdO3YgFovBbrfD5/Nh5cqV2Lx5MwDgrbfewqpVq7Bo0SK0tLTA5XLB6/Vi165dWLZsGc4++2xs2rQJQDzU/qyzzoJarcaMGTNQX19/wmOQzLL5ghjwBCe1EZHJN2jB84DDL/8xm1iMR0ufHXOLzRkpaqVKdX58FLFDxAGQLPuBwuPFy6LXYGZBDhp7bBPqshU7TygCk1aV1juQJo2KRhEJIZJGwfHSJOZRxEA4ipZeOxaX51FRS8QWlOZh+93rcFZlIZ6vP4wb/7pN6CNNWJ/bD41SgXwDfc4QmzE7tg4fPoyXX34Zn/vc5wAAN954I954441JPdm0adNw8cUX47rrrgMA3H///Vi4cCHuvfde/O1vf0NZWRmuuOIKqNVqfOtb38LNN98MjuNwxx13ICcnB5dccgk+/PBDfOYzn4FGo8EvfvELAMB9992HH/3oR4jFYli0aBFWrlw5qfORyWtLBMfPmURwPFNgSGxG9AVlXwE/bIuvuV5YJp18LQAoydFDo1Sg0y7ewha74KLweHGrq8jHhqZOHLV7UZUomEqdJxhJ20ZExqRVwS3iraSEEDIWCo6XJnbDUIzh8U1WGyIxHksrKF9L7Kbl6LHlaxdh2SNv4I19PeB5XlIjiVanH2VmvaTOnC3GNYoIIPmH5/P5EAgEJv2EN9xwA2644YYTfu1Pf/rTSV+3du1arF279oRfUyqVeOihh0762lmzZuHFF1+c9JnI1LHC1lQ6tgoTxaxBT2BKjyMFzdb4+GxtqbRCUxUKDpV5RnTYRBwen9iKaKHweFFbUh4vbDX22GRT2HIHw8hLc6egSavGgGfy78GEECI06tiSJlbYEmPHVkNX/DW1rJIKW1KgV6swd5oFrf0uDHmDKDTphD7SuMRiPHrdfpxVWSj0UcgIxuzVXLt2Lb7whS+gu7sbP/vZz3DFFVfgsssuy8TZiIS0D8RDxWuKzZN+DNalNeST/2bE4Y2I0ipsAUBVnhH9ngB8oYjQRxkRu5NIHVvixu7Usw84cuAJhWHSpmcjImPSqOAJivPvHiGEjMfuHhtKcvQooa1iksKuqxwB8RW2dnbFs5mXUceWZJQl/v73JLYMSsGAN4BojKeNiCI15hX4TTfdhNraWnz88cfQaDR45JFHsGDBgkycjUhI28DURxHz2SiiV3xvmKnWZI0XthZJcM01y9nqtHsxd9rkC5np4vSHoFJw0Kulk12WjerK46/9Xd3yKGxFYzH4QtGMjCIGIlFEojGoKEeEECIxQ94guhw+rK0pE/ooZILMuvj7m1OMHVvdQzBqVFP6HEIyq8wcLw5ZnX4sksiPA6vTDwAoMxsEPgkZyaiFre3bt5/w7/PnzwcAuN1ubN++HStWrEjvyYiktPW7YNapUTyFVlI2ijjklf+YTUuvHUUmLablSKP19njHB8iLsrAVCMOi19Dsu8gV5+hRYTbIpmPLm+hgNKa5Y8uoUSefz0wLEgghEkNjiNKlUipg0qpEl7HlCYax/5gL55xWlBVb1eWiNDdeHLJKqGOLnbWMOrZEadQr8KeeemrUb+I4jgpbJCkSjeHgoBtLyvOnVEzIllFEdyCMw0MeXHh6iSSLL1V5RgBAh0gD5B3+EI0hSkRdRT7+vbcbfS6/5EdS2HigSZPejq2cROHMQ4UtQogEseD4ugoqbEmRRacRXcZWY48NMZ7H0uk0higlrDjU6/ILfJLxsybOyopyRFxGLWw9//zzo37T5s2b03IYIk0ddg/C0RhmT7H99/itiHK2py8eHC/FfC3guFFEkQbIOwMhupMiEXXl8cJWY48N63LLhT7OlHgSHVs5ujRnbCVGHT20GZEQIkFs/Jw6tqTJrFeLrhBR3zUEAFhGhS1JYeN8bLxPCnqd1LElZmNegVutVvz1r3+F3R7PBAqFQvjoo49w8cUXp/1wRBpaExsR50xxk2FyK6JX3oWtZgkHxwMnjiKKTTgazzmiji1pqDsuQH7dXGkXttyJ0Yx0d2yxcHoKkCeESNHuHhvMOjVOk8k23Gxj0Wmw/5gLPM+LZuqAClvSxIpD0hpFpIwtMRtzEPm73/0uLBYLdu/ejQULFsBut+OXv/xlJs5GJKI9UdiaasdWnkEDjgNsMi9stSSC42vLLAKfZHJKc/RQKxU4ahdfxxYLNM3Vp7e4QFJjSWIURQ4B8qxjK/1bEeOvbTd1bBFCJMYTDKN90IXFU4yuIMIx6zWI8byobq7Udw3BotdgZkGO0EchE2DRa6BTKUXXAXgqlLElbmMWtpRKJb7yla+gsLAQn/3sZ/G73/0OL7zwQibORiSibcAJAKgpnlqQuFKhgEWnkf0oYkuvAwqOw7xp0ixsKRQcqvKMoszYYoGmFurYkoRyswFFJi0ae4aEPsqUsdHATGxFBIYLaYQQIhXNVjt4HlhcLs2OdRIvRgDx2AcxsPuCODjoxtIKKpZKDcdxKDPrYXVKp2Or1+WHQaNEro5uoIvRmIWtYDCIvr4+cByHrq4uqFQq9PT0ZOJsRCLa+11QcBxmFU79TkmhUSvrUUSe59Hca8ec4lzo1EqhjzNpVXlGHHMH4A+L68M1CzQ1U8eWJHAch7ryAnTYvLBLvKDNOqjSvhUxOYpIHVuEEGnZ3RPvWF9M+VqSxQpbYgmQZx3fZ1QWCnwSMhlluQb0uQOIxmJCH2VcrE4/SnMMVEQVqTELW7fccgu2b9+Om2++GZdffjmWL1+Ourq6TJyNSERrvwvV+UZoVVMv1BQYtRjyBsHzfApOJj5H7V64AmEsLJVmtxYj1gB5dgeROrakoy5x556tgJeqTG1FZI8vpjEQQggZD/ZznoLjpcuc6FRx+MVxc4Xlay2toHwtKSrN1SPG8+j3BIQ+ypgi0RiOefwoM9MYoliNeWt5zZo1yf/98ccfw+v1wmye2sgZkQ+HP4R+TwBLKspS8nj5Bi0iMR7uYBi5MixONCXytRaVSbsNPxkgb/egZpp4fh6wUUSzXn6vHbmqS1yMNnbbcMHppQKfZvK8bCtiujO2Eo/vpVFEQojE7LbaoFUpphxdQYST7NgSyShifXe8sHUGBcdLEisSWZ1+lOaKO5D9mCcAno8X44g4jdqx5fF48NxzzyX//eWXX8bVV1+NH/7whxgcHMzE2YgEtPWnJl+LkftmxBaJb0RkKvOMAIAOkXVssdZ4mn2XjiWJO/e7JN6xxUYRTWnO2GIZXjSKSAiRknA0hj29DiwszYNaOebACBEps8hGEeu7hlBs0qHCIu6iCBlZWaKYJYXNiCzkvkzkBbhsNuo7y49+9CMMDcWr4EeOHMEjjzyCe++9FytXrsSDDz6YsQMScWsbSM1GRKYgUdgakmlhq7nXAQColXhhqzqPjSKKK0DexcLjqWNLMmYUmGDWqbFb4oWt5Chihjq2aBSRECIl+445EIrGKDhe4tj1lUsEo4j9bj+O2r1YOr2AMo8kqszMClvi34zIQu5pI6J4jVrY6urqwre+9S0AwObNm7F27VqsXLkSN9xwA3VskaS2/nhha05RigpbhkRhS+JB0qNpsdph0Wskf2epOj/RsSWyzYjJ8Hjq2JIMjuOwuDwfbQMuSXchsbObNGkubGloKyIhRHpYyHddOY2MSVkyY0sEo4j1LDiexhAlixWJep0SKGwlim+lZml/hpOzUQtbBsPwH9rHH3+M5cuXJ/+dquKEYYWtVI0iFsh4FNEXiuDAoBu1pRbJ/x0qzdVDrVSINzyeOrYkpa48Hzw/nEEnRe4gy9hKc7OyfmwAACAASURBVHh84vHdEi4CCunjo4Podojr5xYh2WB3MjieOrakTExbERtYcDwVtiRruGNLCqOI1LEldqMWtqLRKIaGhnD06FE0Njbi7LPPBgB4vV74/eKvqpLMaB9wIlenxrQcXUoejxW2bDIsbO075kSM5yWfrwUASoUClRaj6Dq2nInWeLMMFw/IWV1FPGersVu644ieUGYytpIdWzSKOGE9Th9WPbEJd/9zp9BHISTr7O6xQ8FxsrgGymZiKmzt7IpPEC2jjYiSVZoTLxL1OMVf2LImusrKqGNLtEadmbj11ltxySWXIBAI4M4774TZbEYgEMCNN96I6667LpNnJCIVjcVwYMCNRWV5KetAYqOIcuzYak50oyyU+EZEpjrfiC0H+uAPR6BXp3f8arxYazyNIkqLHALkM5exReHxk/VqcyciMR4HB9xCH4WQrBKL8dhttaGmOBeGNI9rk/SyJK6v2BZqofA8j4YuGyrMBpRQB41k5ejUyNGqk8HsYsa6ylgxjojPqO8u5513Hj744AMEg0GYTPGgaJ1Oh+985zs455xzMnZAIl4dNi9C0VjKguOB4a2IcszYYhsRa0stAp8kNaqSAfJe1EwTx+puFmZqplFESZlTnAu9WinpAHlvMAK1UgGtSpnW59GqFFAqOHgpY2vCNjQdBQB0S+DOMCFycmjIDU8wgsWJmxhEusSyFbHH6UOf248rFk4X9Bxk6spy9RIZRfQjR6tGDt08F61T7ttVq9XJohZDRS3CsI2IqcrXAuS9FbGl1w6OAxaUyKOwxQLkO+3iyatxBEIwaJS0SlxilAoFFpXlYW+fA4FwVOjjTIo7GE57cDwQz7g0aVQ0ijhBVqcP/+voBxD/QEYdb4RkTmMyX4sKW1KnVSmhUynhFLiwVZ/I16IxROkrM+sx4AkiFBH39Z/V5aN8LZGjT39k0tr7nQCA2SnaiAgctxVRZoUtnufRZLVjVkEOjGnO4MmUqvx40VtMOVtOfxgWyteSpLryfERiPPb0OYQ+yqR4QuG0jyEyOVp1MtOLjM+rzUfB84BBE++ok0KeByFywbpxF1NwvCxY9BrBO7YauhOFLQqOl7zS3HhmVZ87IPBJRheKRDHgCaLMTIUtMaPCFpm01sRGxDkpHEXUqJTI0aplN4podflh84Vkk68FANXJUUQRFbYCIRpDlCgWIL8rcbEqNZ5gJO0bERmTljq2JuqVpk5wHHDT0hkAgG4HFbYIyZTGnngUA40iyoNFr05mmgpl51HaiCgXrAtKzOOIrOjGinBEnKiwRSatfcAFjgNOL0xdYQsACowa2XVsseD4WhltA2KjiB02cYwi8jwPhz9EHVsStaQ8fnG6O/EBSGrcwcx1bJmoY2tC2BjiqtOKk3f3u6iwRUhG8DyP3T02VOUZkZ/oyifSZtFr4PSHwfO8IM/P8zwauocwsyCHXlMywLYMsq2DYsSKbjSKKG5U2CKT1tbvQnWeCTp1asOSC4062W1FZMHxC2USHA8Apbl6qJUKdIpkFNEfjiIS45Grl8eoZ7aZX2KGWqlAY4/0OrbC0RiCkRhMmgx1bGlU8IWiiMZiGXk+qWNjiNcsqkKFOV6Q73GKoyBPiNz1uvzo9wSSXblE+nJ1GoSiMQQEykSyesOw+UJYOp1eU3JQmigW9Yq4Y4sV3VgRjogTFbbIpDj9IfS5/SndiMjkG7QIRKLwyWjrV7JjS0ajiEqFApUWo2g6tljeg5m2lUiSRqXEghILmqx2hKPSKtiwDYWZ6tgyJp6HNiOOz4bm+BjiVbWVqLDEL0ppMyIhmbGLguNlx5K4gShUzta+oXiRgYLj5aEsMd5ndYm3Y4sV3UpyqGNLzKiwRSaFbUSck8LgeKbAEB8lk9M4YkuvAyatKplLJRdVeUb0uf3wh4X/gO0MxEezLJSxJVl15fkIRmJoTSymkAp34rVnylTGVqIzjHK2xtbr8uGDI/0457RilOYaMJ0VtmgUkQhg66FjWPXEJpz+89eyZjPncHA8Fbbkgl1nOfzCvIb32+J5R8sqCwV5fpJaLJDdKuIbTqzoRuHx4kaFLTIpbcngeHPKH7vQpAMA2YwjBiNRtPY7sbAkDwoFJ/RxUqoqkbN11C5819ZwxxYVtqRqSWJUha2GlwpPhju22PN4qGNrTMkxxNoqAPERmhytmrYikoxqstqw/g9bsPqpt/BhxwAOD3mSC3jkrpE6tmSHZZk6BQqQ3z/kB8cBS+g1JQulyfB4MXdsJQpbFB4valTYIpPSPhDvqEjlRkSmIBEEKZfNiK39TkRiPBaWySdfi6nOj3egiWEckV1gWShjS7LYHf3GbokVthKdF5ncinj885LRbWgaHkNkKiwG6tgiGXFkyI3PvfABlj7yBja1WnH+zGn44hkzAYjjhlAm7O6xocikpdBlGRnu2Mp8YSsW49FqC6Cm2Iwcip6QBb1ahTy9RuQZW/GzldLPMVHLzO1lIjvsTmN6RhEThS2ZdGw1yTBfi6lKjFZ2iCBA3ploiaeOLemqLbVAwXGS69hyJwpMJk1m3lJZAY1GEU+t1+XDtiP9OLu6+ITA13KzAfuPOeEPR6BX02UQSb1+tx8P/rcFv99+AOFoDIvL8vDg+jpcPKcMr7YcxXM7D+GoCN43083uC6LD5sVFs0vBcfLqWM9muQJmbLUPuOCNxLCU8rVkpcysF/VWxF6XHxa9BoYMXeeRyaE/HTIp7f0umLSqtFSuC4zyKmy1WB0AgNpS+RW2qhOjiJ024S/QHYmOrVy6gydZRq0aNcW5aOyxIRbjJTO6ywpMGc/YolHEU3qtuSuxDbHyhF+vMA/nbJ2ehpszJHu5A2E88v4+PPL+PniCEcwoMOEnaxfj+sXVyZ9n7IbQUYf8O7Z2J27s0RiivLBRRCEytnZ2xTcnnzGdCltyUpZrwN4+8d5wsrp81HUqAeJ75RDRi8ZiODDowsLSvLTcgUsWtmQyitjcG7+wW1Aiw1HEPPGMIrr8FB4vB3UV+dh3zImDQ27MlkjRQbCMLRpFPKUNzZ0AgKsS+VrM8ZsRqbBFUiEYieKZ7e148L8tGPAEUWzS4aFLluCW5bOgUSlP+NrKxOuvMwtGESk4Xp7YdZZTgI6thu54YWspFbZkhXVV97r8mFGQI/BpThQIR2HzhahALwFU2CIT1mn3IhiJpe1Dp9wytlp67ajON8Isw4JLmVkPlYJDpwhGKljHFo0iStuS8ny80HAEjd02yRS2kqOIGerYMiYKW24qbI2qz+XH1sPHcHZ1EcrNJ4a9lptpMyJJjViMx4uNR/D/Nu1Gh82LHK0aP167CPecO3fUnwdFJh10KiW6sqCwlQyOr6APhHKSLGwJEB7f0DUEJQcsLpffFEQ2Y91QPU6f6ApbLPurzEzB8WJHhS0yYcMbEdPzobMw0bE16Amk5fEz6Zjbj2PuAC6bXyH0UdJCqVCgMs8oijvP7M4hhcdLWzJAvseG6+uqhT3MOHnZKGKGshfYKKKXMrZG9VpLYhvioqqTfq/CEh+h7nEK/3OLSBPP83hzfw/uf3M3mnvt0CgVuPvcGnz/woUoSmx2Hg3HcaJ530y33T02mLQqzBLZB1UyNWYdy9jK7M2VSDSGxh4bZpi1ohxXI5PHtg2KMWfLmtyISKOIYkc/FciEtQ+wwpY5LY8/PIoozBrhVGrplW++FlOdZ8I7B/sQCEehUyvH/oY0cQYoPF4OWGFrV2LcQAqSWxEzlO+WHEWkjK1RbWhiY4iVJ/3edAt1bJHJ294xgO+/sQvbDveD44DPLZuBH1+8CFWJLcHjUZlnjIdgB8MwZqjTM9N8oQj2H3NhZXWRZPISyfgItRVx3zEn/OEo5lGhVHZKzfGikRg3Iw4XtqhjS+yosEUmrC2NGxEBwKBRQadSwiaDUcSWRL7WQhluRGSqEgHyRx1eQUfH2AWWmTq2JM2i12BmQQ4ae2zgeV4Sm7TcGe/YooytU4mPIfZjZXVRsjvreMnweKf4LqCJeO3rc+AHbzbi9b3dAIBL51XgZ5csxsJJ3LiqTLwuuxw+1ExLz01CobX02hHjeRoZk6FkYSvDo4g7uwYBAHPzqXNGblg3FCsiiUlv4lqBFd+IeFFhi0xYW78THAecXpS+OyaFRi0GvdIfRWxObASqLZVfcDxTnc8C5D2CFrZcgTAUHJcc0yLSVVeRjw1Nnehy+FCZd3JhQmw8ocxmbLHn8dAo4oheazmKGM+POIYIILGyW4keKmyRceiye/HA5ib8pf4wYjyPs6uL8PP1S3DOjOJJPya7IdRp98q2sNXYE7/+oeB4+dGrlVArFcmlPZnS0BXPbJtbcOpxXyI9w6OI4ntfpo4t6aDCFpmwtgEXKi3GtM63Fxi1ODwkfCD5VLX0OqBXKzGrUL5t01V5w4UtITn8IeTq1DTyIAN15XnY0NSJXd1D0ihsZbhjK4dGEU+JjSFePcIYIhDPOKowG2kUkZzSkDeIX2zZgyf/14pgJIb5JWY8eEkdLp1XMeVO0umW4U5nuWIbEWmTmPxwHAeLXp3xjq36rkFolArMMlNhS25Kctkoovg6tqwsPJ4ytkSPCltkQlyBEHpdfnxqTllan6fAoEWT1Y5QJHrSqmypCEdj2NvnwKKyPCgVCqGPkzbVx915FpIzEKLgeJmoK4+v8W7sseGKhSMXJ8TEnfGMLdaxRaOIn3TMfeoxRKbCbED7gAvBSBRaib7HkPTwBsN4bFsrfvXuXrgCYVTmGfHAxYtw09LTUvZeXpUo2B8VwUbhdNndY4NaqcA8mXakZTuzTpPRjK1gJIrmXgcWl+VBraQbmHKjVipQbNKJdBQxfqYSKmyJHhW2yIS0D7gBpG8jIjMcIB9EqURbP9sHXAhFY5PK35ASsXRsOQNhnDaB8F4iXnWJTJZd3TaBTzI+bDuhMVMZW4mOLTeNIp7k1THGEJnyRIC8GFeLE2GEozE8+9EB/OytFvS5/SgwaPHrTy/FbSvnpHwxynBhS55dg5FoDC29DiwosUj25iQ5NYtek9Fx7marHeFoDMumF2TsOUlmleXqcXDILfQxTmJ1+VBg0NJNMAmgwhaZkNZ+J4D0BcczycKWV7qFrWS+Vpl887WA+BuRSsGh0yZcx1Y0FoMrEE6uoCbSVpyjR4XZgMYeaRS2PKEwtCoF1MrMdGbqVEooOA5e6tg6yT/GGENkkgHyDipsZbtYjMcrTZ340abdODjohlGjwv0XLcS3zp+H3DRt2S03G8Bx8u3Yau13IhCJUnC8jJl1avjD0YxNVtQnNiUvnV4AwJn25yOZV2o2YLfVDncgnLEO+PGwuvzJmxFE3KiwRSakPbERMd0h4QWGeGFr0CvdzYjJjYgy79hSKRWYbjGiQ8ALdNa5Ytan50MIyby6inz8e283+lx+0bd/e4IR5GQoOB6I55uYtCrK2PqEfrcf7x/qx4qqU48hAsMdW7QZMbu93WbFfW82Yle3DSoFh6+dPQf3X7QQ03LS+zNHo1KiLNcg+Ah/urDgeMrXki+2GdEZCKPIlIHC1tF4YeuM6QUIWqmwJUfDmxF9mKMTxwizNxiGKxCWbJNFtpFv8A9Ji7aBeGEr3Vt8Co8bRZSq5l4HAPkXtoB4zlavy49AOCrI87OcB3Oa7q6TzGMfiKTQteUOhpPjgZli0qhoK+InvNrSlRhDHDuXjYV391CAfFaq7xrCp55+G2uf2YJd3TbcUFeNffdejieuOjPtRS2m0mJEt9OHaCyWkefLJBYcTxsR5Ytdb2UqZ6uhewgGjRI1xeIoeJDUS25GFFHOVq+bbUQU9w1WEkeFLTIhbf1OmLSqtP8Fzz9uFFGqWqx2lJsNybFKOWM5W0JteHImNvNQeLx8SKmw5QlGYNJk9rVn0qrhCdEo4vGGxxBPna8FHDeK6JRnxwwZWfuAC9f/ZSvO+s2b2HKgD5+aU4b6b6zHCzetwswMby+uzDMiGuNhdYrnQ1yq7O6xgeOARWXyv7GXrVjHViYKW75QBHv7nFhSXgBVhkb+SeaVmhMdWyLqpGY/n8vMVNiSAhpFJOMWi/E4MODGvBLzlFddj4WNIkq1sGXzBdHt9GFtTXq3R4pFdf5wgHy6x1RH4vTHP+BTx5Z8LKmIF7akECDvCWV2FBGIB8hnMrhX7Prdfrx36BiWVxVi+jiyMIYLW/TfMBtYnT785K1m/PHjg4jGeJxZWYCfr1+C1bNKBDtTJQuQd3jH9ZqVCp7n0dhjw+zC3OQGVyI/7EZiJgpbjT02xHgeS6dTB6CcsaaJXhF1bFld8WuEMhpFlAQqbJFxO+rwIhCJpj04HpD+KGJLYgyxNgvGEAGgKj9+US5UXsjwKCJdRMtFudmAIpM2OdIiVsFIFOFoDMYMjyLmaNXwhiKIxXgoFLT6/LU9XePahsgUGLXQqhQ0iihzDn8Iv3xnDx7f1gp/OH798rNL6nDlwulpv0E3FhZG3Gn34uzTBD1KSh2xeeAMhLG2plzoo5A0Oj5jK90auuL5WsumF6b9uYhwys1sFFE878usyFZKo4iSQIUtMm5tieD4ORmYby+Q+ChiS2Ij4sIsacOvTowidtqECZBnF1YUHi8fHMdhcVk+3m7vhd0XRJ5BnCO9LOcq0xlbRk38+XzhCHVFYGJjiED89VVhNqKLCluy5A9H8OQHbfjFlj2w+0MoNxvwo0/V4otnzBTNKBPr2OqSWYA8Gx+n4Hh5M2dwFHFnsrBVkPbnIsJJZmyJaDx7eBSROrakgApbZNza+uNbSDIxasY6tqS6FbEpUdjKlnyJ40cRheBkHVtU2JKVJRXxwlZjjw0XnF4q9HFG5AnGi6pCjCICLLg+uwtbA54A3j14DGdVFiaLBeNRYTFg6+FjGVtXT9IvEo3hz/WH8JPNzeh2+mDRa/CL9Utw56o50KvFdclbmSdsp3O6DAfHZ8f1T7ZiHfLODBS2GrqGkKtTY1ZBZnPwSGYVmbRQKjhxZWwlRxGpY0sKxPUuT0SNbUScU5z+wlaOVg2VgoNNsqOIdmiUCkHypoRQlquHSsEJdoGeDI+nUURZqauI351t7BZvYcudKGyZNJneihh/rdNmROC1lqMTGkNkys0G8Hx81KAqUZwn0sTzPF5r6cIPNzaitd8FnUqJ766ej+9eMF+03Z5Vx2VsyUljT/zG3v9n782DI7nvK8+XWfd9F4BCFa6+AHY3utFoiqZkLUVJtEiRWtERsmflCO/ErndnNuSQI3YUa2tpSSvbY8kejzQKe73eP2bt8UyMx9plaGRRlHjIaoqUSbHZaHSjDxwNNI66UPd9V2buH1mZALrRQFUhqzKrkJ8IB2WgKjMbSFT+8uV77ys7tvobvjy+3FlhK1OqYjmWxcdPDsqx+z5HQZIYNOmkNRUxWwJBoGvTcmWOhixsyTTNSiOK2A2xhiAIOAyanowiUjSN29tpPDZggUoikYdOo1SQ8FkN4jm25ChiX3KpByYj5qtcFFEcx5YsbAEv8zHEkZbet7tAXha2epe3Vrfx0qvzeH8rDgVJ4H/6pZP42q9c4PtapIpZq4ZFq8JWSpzrZqe4EUzCa9HDadSKfSgyHWRnKmJnO7auN67/s3IM8VjgMeuwEE6BYRjRexABdvCI26g9NvdzvY4sbMk0zVI0gxGbAfouOROcBo2kctbNspbIo1Sjjk2/FseY3YArqxFU6hQ0XY71cB0PVlnY6ivG7UaYtSppC1sNYcnU5Y4tXtiqdr64V8rE8mW8tRbBh0YcLYtTPivrmAnIPVs9yY1gEi/9aB6vL4UAsMLmHz13sSs9oEIxajPifjInmZu4oxLJlRDOlvDCY16xD0Wmw1i1XHl8Zx1b17bkfq3jxJBZhw/8CaRKVdhFdtsyDINQtnRs0jf9gCxsyTRFrlxDKFvCJ093Lw7k0GtwN5IBRdNQkL2jlC80+rWOy0REjlGbEUAEW6kCTnX5IsA7tuQoYl9BkgRmhu14+34EeYl2SfFRxG47tuQoIgA2hkjRDD7XZGn8boatrKMnKKE+D5nDuZ/I4Ws/voH/Mr8BAPj4yUF84/kZPD7SexPTfDY9FsIppEtVyUYmW0Eujj8+WHTsNajT5fHXArKwdZzgStpDmaLowlauUkOhWpcnIvYQvaMWyIjKSqNfa7IL/VocdoMGDAOkip0vphSSW+HGRMQhq8hH0l24vhAx4ojcwsqilR1b/cbMsB0MszOQQWpwwpKh2x1bvGPreAtbfAyxxX4tYHcUsb86jvqVSK6E3/neVTz2pz/Af5nfwMywHT/+F5/AG//LJ3tS1AK4B0L9UyDPFcfPeGVhq98xqlUgCQKZDkcRr/njcBo0/BpTpr/hStql0LO1MxFRFrZ6BdmxJdMUfHG8q3sW/92TEXupq4F3bB2zKCIXA9oQYYGeLVehUZLQquTJZv0Gd4M0H0jiI+NukY/mYbgoYPenInKOreMbRYzviiGOtdGR5W04tuQoorTJlqv49luL+PbP7qJQreOEw4Q/fO4Cfv3CWM+XSfMF8qkCLvaBy+l6QHZsHRdIkoBFq+qoYyueL2MjWcCnJj19EdWVOZwhM+fYkoCw1ZiIOGSSdl+jzA6ysCXTFMvRDADgdBcdW46GBTXRY5MRb4XTcBu1x26CBndjuSmCYytTqslurT5F6gXy+TJXHi+OY6twjKOI//W2v+0YIgC4DGwhrCxsSZNKncL//e4KvvGTW4gXKhgwafGnL1zCbz1xEuou9zh2Cq7nbatvHFsp2PVq+KzyjeBxwKpTd1TYmmsIpY/LMcRjA+eOCmfFvy5zrrEh2bHVM8jClkxTLEc5x5YIwlYPTUbMlqtYT+a72kUmFcbEjCKWq3JxfJ9yxm2GTqWQrrBVFbdjK3eMHVtHiSECrONg2KJDQO7YkhQUTeM/X1/H11+7ic1UAWatCn/03EX8zkcnJdmzdxRG7Q1hK937wlamVMVaIodPnBqU3TXHBKtOjdV4rmPbv+aPAwBmvbKwdVzwcI4tCUQRtxvH4JE7tnoGWdiSaYqVWBYGtbKr47MdBjZ+GO8hYetWOA3g+BXHA8CwRQ8FSYjSFZIp1TBilfsX+hEFSeKCx4Zr/gTKNUpycVPxpyIeT8dWPF/GldVtPO5rL4bI4bUY8O5GDHWKhlIe5y0qDMPg1cUgvvKjedwKp6FWkPhfn5rClz9+rqfqCFqBu271Q8cW14PYD5FKmeawaFXIVWod+/y85peL448bOx1b4j9w4o6BE9tkpI8sbMkcCk0zWIllMem2dLXPwmFgHTjJHooiLnDF8Z7jVRwPAEoFCZ9V33XHVqVOoVynYJYnIvYtM8N2/GIzjtvbacktcEWbisgJW8fUsfV9LobYpluLY9iiB80w2M6V4JXFcdF4dz2K//3Vefx8PQqSIPDPHz+Br3/qAkb6vDB60KSDSkFiK9V9p7PQcMXxsrB1fLA0nPLZSq0jE+yu+RPwmHX8pDyZ/sdh0EClIBGWQseWXB7fc8jClsyh+NMFlGoUTncxhgj0ZhTxVuj4OrYAYMxmxM/uR1CpU9B0qQMl0+h3kKOI/QtfIB9MSk7Y4hxbxm5PRVRz5fHH07HFxxCnR460Ha4LKJApysKWCNzZTuP3fzSPV+4EAACfOevFH396BmcHj8fDIZIk4LPqsZUS351wVLi4uFwcf3zg1l3pUlVwYSuUKSKULeEzZ72CbldG2hAEAY9ZJwnHVjhbAkkQcPepY7gfkYUtmUPhJyJ2sTgeAB896K0oYgoKksDUQPemR0qJUbsRzFoE/nQBJ53dOV8yZdaxIpfH9y/cjdJ8QHo9W+JNRTy+UcREoYKfrm7jss+BcYfpSNvaMxnxaOYvmRbYShXw9ddv4j9eWwPDAL887sY3np+R5OTTTjNqM+DKakSSUetWuBFMQa9W4LTraH+TMr2DVcde9zIl4Z3DXAxRLo4/fnjMenzgj4OmGVEn34ayRQyatFCQck1BryALWzKHshIVR9jqtamINM3gVjiNSbe5a24lqbFTIN89YSstO7b6nrODVqgUJOaDCbEP5SE4x5Re3d2/ec4hdhyjiN+/vXWkaYi7Gbawn1lBuUC+K8TzZfzJT2/j//qnZVTqNM4NWvGN52fw6anhY1s4zk1GDGS6d90Umkqdwt0IGxWXbwKPD9bGA8V0WfjJiHMB9no/Kwtbx44hiw71TQbxQhlukSbMMwyDUKaEc0PHwz3cL8jClsyhLEUzAIAzru66kKw6FQiidzq2NlN55Co1nD+mMUSAdWwB3Z2MyDu2dHLHVr+iUSpwbtCKm6EUahQNlYRKvvOVGvRqRddv5vRqJQgCKBxDx9bLN7cAAJ+7cLQYIvCAY0umYxQqNXzn7UX827fuIluuYdRmwB88exG/cWns2Ashozb2urnZxQdCQnM7nEadZuQY4jHDsiuKKDQfcMXx8kTEYwc3qCyULYkmbKVLVZTrFIbkiYg9hSxsyRzKSiOK2G17uYIkYddpeiaKuHCMJyJycNPJNrtYhMstqCxyeXxfMzNsx3wwiaVoRlLicb5S5/uuuglBEDCqVceuYytZrOCn98KY9dqPHEMEAG9jAe1P9/5UOilSo2j8+1/cwx+9uYBIrgynQYN/99nL+JcfPn1snc0PwhXkb/XwOXhdLo4/lnAVEEILWwzDYM6fwJjd0LcTUWUeDTcZMZgpivaZEso2iuPliYg9hSxsyRzKcjQLn1UPQ5c7ZAB2OkavlMff4iciSuemu9vsjiJ2i0zDAm+Ro4h9zSWvHX99lS0olpSwVa13vV+Lw6hR8lMZjwvfv+VHXYBpiBwDJi0UJCFHEQWGphn8vzc38LUf38RaIgeDWomvPjONf/WxKZjlPsQ98MJWqneFrRtycfyxZKdjS1hhazNVQLxQwcdODgq6XZneYMi849gSi1BjTSBPROwtZGFL5kDylRoCmSI+cUqci4tDr8FaIgeGYSTfv3Ez1jPf9wAAIABJREFUxApbF46xsDVs0UNBEtjsYhQxK5fHHwsu7iqQ/+8vnxD5aHbIVWpwGoQfc94MRrUSuWPm2Hp5gZ2G2I6wVatX8KOFv8KI4zHMjP4KANYZ7DHrEJCFLUFgGAZvroTx0qvzmA8moVKQ+O2PnMHvP3MeAyJFSqQAzVCIZf3wpxYRSC6BZih85uLvQKVQY7QhbG32uLClJAm5j0bi5MtpBFJLCCQXEcv58eTJFzHmnG57e1y3KVcJIRTX5Bhi31KnatjOrMGfXEIgtQSbfgCfPPs/7HkN59gKi3hd5kQ1OYrYW8jClsyBrPATEcWZ8ucwaEDRDDLlmuTLwW+FUrDr1fwH8nFEqSDhteix0cUFulwefzyYHrKCJAh+pLwUYBimEUUU51Jq1KgQzon3RLPbJIsV/ONKGJe8dky0EUO8E3oHqeI2APDCFsCWd1/dioOi6WPf93QUrm7F8dKr13FlNQIA+PzMGP7wuYtt/a76gUq9hFBqBf7kEoKpZVTqe2/SUoUw3OZRvjze36PCFkXTWAin8NiAVY6XSgyaoRHPBRBILcKfWOQ//zj8yaUjCVudiiLOccLWiCxs9QPFShaB1BL8yUWE0qug6B0htFBJo05VoVTsrOE9FvEdW+Fsw7ElRxF7ClnYkjmQZW4iokucQlNHwwmRKFQkLVwUKjWsJnJ4amJA8s6yTjNmN+Lt+xFU6lRXFrl8ebzcsdXXGDQqTLrNmA8mRR8BzVGuU6AZBkaRzj2jRolCtS6Zn0en4WOIbUxDLNfyuBN8BwCQLcdBMzRIghWxhi161GkG0XyZj0DINM9yNIOv/PgGvrfAlvo/O+nBH3965lj2LWVKMQSS7A1cJLsBhqEBAHq1BWcGn4DXPoVcOYGr919BphSD2zwKrUqBAZO2Zx1bK7EcilUKF4ePr1tdSlTrZYTS9xBoOGLKNfa8Igklhm1n4LNPYth2Gv917tvIlGJH2hcXRRRa2OIcW5eO4WdIP8AwNBL5EPzJRQRSS0jkg/z3rHo3vLYp+OyTWIvNY2X7KjKlOBxGD/8aziAQyoro2Mo0OrbkKGJPIQtbMgey49gSSdjSs8JWvFDGCad0n/reiWTAMMe7X4tj1GYAw7BlzN2Y8CSXxx8fZrx23I1ksJbI4ZRIYvtucg1RVSzHlkGtBMMApVpdlA7EbnOUGOKC/y3UqAqUCjXqVBWFShomLXvTtHsyoixsNU8wU8QfvnETf3N1DRTN4IkRJ775wiU8dWJA7EPrGjRNIZLdQCC5CH9qCdlSnP+e0+iDzz4Jr30KdsMQ/9BrO3MfAJAp7ogKI1YDboZSPSlSz8v9WqKTKyfYaFdyCduZ+6AZCgCgU5lwauBx+OyTGLKehEqxE5s3aR3IFGNHqvqwdmAqIk0zmAskcNpllrtTe4gaVUU4fY+PGJaqOQAASSjgsZ6C1z4Jr20SZt2OCy9RCAFgHwjsFrbMWhX0agXCYnZscVHEYxyh70VkYUvmQJaiGQDiRRG57ppEUfhRwkKy0OjXOi/3S/CTETe6NLo8I0cRjw0zw3b857l1XA8kJSFs5atsv5VRtPJ4FX8c/S5s7Y4htvqQI19OYyn8Cxg0Vpxwz2DBfwWZUmxH2GrEHgKZIh4X/Mj7j1Sxgn/z0zv483eWUK5TmHSb8a8/PYMXz/mOhWO5XCsgmFqBP7mIYGoFNaoMAFCSaow4zsJnn8Kw7Qz06v3PU4vODQB73DIjNgM+8CcQyZd6Tly9IU9E7DpsZ9tWQ0RYRLoY5b/nMAzDa5+Ezz4Fh9EDgtg/Xm3Ru5ApRVGu5aF7xLl6GObGA8WsgB1bq4kcMuUann/MK9g2ZToD29m2CH9yCeH0GmiGXRNpVQacdM/Ca5+Ex3oKauX+ky0tOhcAIPuAc5AgCHjMet41JQbhbBFKkoDTIE/l7CVkYUvmQFaiWehUCn7h323su6KIUoabiDgtoWltHAzD4Mrif0KqksYsZju+v1EbJ2x1p0CeW1CZZceWZKhTVWRKMaSLUaSLEaSLUWSKUVTqJTx7/n+GzdDeMArOETAfTOKfzYwJeMTtkW8Ut5s04lxKuf3mK3UMSNfQKgj/cLv9GOJN/09AM3XMjDwDpaIxxasYg9d2BgAw3Og4CqR7MwrWLUq1Ov7Pd5bxJz+9jXSpimGLHv/Hp6bxzy+fgFLRv91kDMMgU4rCn2Rv4GLZTTBgAIAXS332KQxaJqAgD/8s0KoMUCt1e4Qt7rq5lSr0sLAlvfVPP1GplxBMrSDQEFS5zjYFqYLPPsULqgZNcw+iOVEhU4q1LWwpSBJmrUpQxxZfHO+T+7WkBtvZ5ufj1rs722z6QfgcU/DapuA0efmo/0HwIn/x4Uisx6zDO+tR1ClalOtLOFvCkFnXcw7a444sbMk8EppmsBLP4rTLLNofNhdFTBTKouy/WW6F0yAI4Oyg9Bxbm4lb2EreBQCki1FY9e6O7m/M3t3R5elSFSaNSi59FoFavYJ0iRWvMsVoQ8iKIl9JAY0bPw6VQoMaVcG9yAf40MRn2tof5wi4Hkgc9dAFIVdpRBFFd2wJO5FKirx8s70YYroYxWpkDla9GxPuGaSLbLH5blGBd2yl5cmI+1GnaPyHD9bwh28sIJgpwqZT49+8cAlf+OUz0Kn6cxlJ0XVEMuu8mJWvsOINAQIu80ijI2YKVr27ZZcaQRCw6FyI5wOgaQokqcCIjT0HN1MFPDHqEvzf0ykYhsF8MImTThPM8mRiwcmUYvAn2J6iSGYDDPZ2trGC6glesG8FXtgqxjBomWj7GC1aFdJlIYUtNs4rC1vSgOtsYx2qy/t0tk3Ba5uEUdv6/Y9BY4aCVCFTij70vSGzHgwDRPJlDHfZXMEwDELZktzx1oP054pERhCCmSKKVUq0fi1gdxRRuo4thmGwEErhlNMMvUhdO4+iTtdwbf3H/P+/HruJmdFnOrpPPoqY6o5jK1Ouyf1aHaZSL/HCVaYYaYhZURQq6Ydeq1UZMWgZh1U/AKveDYvODat+AGqlFt99/19jI34Lj48//8h4xEFYdWqccJhwI5g6Ui+IUHCOLdGmIjb2myvXRdl/t0gVK/jHe9uYGW49hji/+QYYMJgZ/RRIgoRZ6wRA7Ik+7I4iyuzAMAy+d2sLX/3RDSzHWPf2lz9xDv/b02f7MvpdquYRSC2xjpj0PdQp9mZdpdBgzDndKN0+A63KcOR9WXQuxHJbyJWTsOhdGGk4tnptMqI/XUSyWMXHTw2JfSh9AdfZ5k8uIpBcQrbMdbYRcJq88NnYiKFtV2dbu1j0O46to2DVqeEX8KHAnD8JkiBwUe6sFY1cOQF/gu0NjGTW9+lsm2p0th3tOkAQJCw6J7KlOBiG3rMu5ErbQ5li14WtRKGCGkVjSC6O7zlEWY2Xy2W88MIL+MIXvoAnn3wSv/u7vwuKouByufBnf/ZnUKvV+MEPfoC//du/BUmS+PVf/3X82q/9Gmq1Gr785S8jFApBoVDgm9/8Jnw+H5aWlvD1r38dAHDmzBn8wR/8gRj/rL6D79dyidOvBeyeiijdjq1gpohUqYpPnJbewm4x9E/IV1I4PfgE7m1fw3p8ARdHPtlRQcBr0UNBEthMds+xJU8tEYZyrbDLecUKWJliFMVq9qHX6tVmeKynYNG7YdW7YdUNwKJ3HXjTN+I4i9XoHKK5LQyYx9o6xhmvHS/f3IQ/XcSI7eg3mEeBc0qZRHNsKfccR7/yD7cDqFE0PndhpKX3xXN+bCZuw2nyYcT+GABAqVDBqLHtiT4MmXUgCQJBWdjiubK6jZdevY6rWwkoSAL/4slT+Ooz0/wY9n6AYRikCmH4G2Po47kAOKepSeuAb4Cd3OU2jzUVMWyFHVEhygpbjThsr01G5NyzM3IMsW32drYto0axD3KVCjVGHWfhtU/BazvTdlzwUZh1wglbt7fTggw+qFM0rgcTODto6fveSCmx09nGOlR3O6gcxmF4bZPwOabgMDy6s61dLDo3koUwCpXsHteXpxHJDolQIM/t09NjsXAZkYStv/qrv4LFwoolf/7nf47f+I3fwHPPPYdvf/vbePnll/Hiiy/iL//yL/Hyyy9DpVLhc5/7HJ555hlcuXIFZrMZ3/rWt/Dzn/8c3/rWt/Cd73wHf/zHf4yXXnoJ09PT+NKXvoSf/exneOqpp8T4p/UV3ETE0yI6tnZPRZQqN0Ncv5a0Yoilah4L/ivQKPWYHXsWkVgQmVIAyUJ4z/QRoVEqSHgt+q50bDEMg0y5hscGxBNfew2GYVCuFdj4YCm6pwerXHv4d2bQWDFsOw2rzg0L58LSu6FRti4mjrmmsRqdw0ZsoX1ha9iGl29u4nogIbqwxTmlDCJ1bBnVjShipb8dW+1OQ5zbfB0AMDv67B4x36J3IphaQbVehlqphVJBYsisk6OIAOYDSbz0o3m8scxOq/rchVH80XMXcVoCwxqEoE7VsJ1Z40u3CxX2AR4BEgPmMb6riBOeOoXlAVFh1N6bwtaNILv+kYvjm4dhGKSL0Ubp9iJi2S2+s82osfGl2812trWLRqmDTmXat9+oFSxaNRiGfcBy1DjqUjSDYpXCrFeOIXaaSr2IYOoeAslFBFLLqNZZMWd3Z5vXNgm9prOf/btF/t3C1pC54djKdv+6zO3TY5YfmvcaXV+Nr62tYXV1FR/72McAAO+//z7vsHr66afx13/91xgfH8f58+dhMrFPJy5duoTr16/jvffew4svvggA+PCHP4yXXnoJ1WoVwWAQ09PT/Dbee+89WdgSgOUoK2xNiilsNRxbSQlHEbni+PMSK46f33oTNaqCJyY+C41SB4vChwwVwHr8ZkeFLYCNI759P4JqnYJaqejYfvKVOmiGgbkPYzFHhWEYlKo5pEsRvvsq0xCwuNLZHQgYNTZ4bZN8hJCLEaqUmn233w4ey0lolHpsJG7hQxMvtPXkb2aYXfDOB5N48XxrDh6hKVTF7dgy7CqP71fSpSp+shLGRY+tpSmrofQqwulVeKynMGQ9sed7Fp0LwdQKMqUYXCYfANZpOh9MCuI66EXW4jl87bUb+Pv5DQDAJ04N4hvPX+qLnptiJYtAw5UVTq+iTrN/t2qlDhOui/DapzBsOwWNsntP5827+o0AwKZTw6BWwt9jAwzmG8XxM7KwdSAUXcd25n6jdPvBzrZR+OyT8Nra62w7CmadE5HsBup0DUqyveuYRce+L106urD1AVccP9L7nztSg2EYZEvxhitrEdHsJt/ZZtBYMO68AJ99su3OtnYx75qMOGw7zX+dcweHRZiMyE1j7LVBHjIiCFt/+qd/iq9+9av4/ve/DwAolUpQq9kPQofDgVgshng8Drt95yJpt9sf+jpJkiAIAvF4HGbzzmKX24bM0eGiiGI+qVUp2IkrUo4iLoTYnqFpCfUBpArbuLd9FRadC2cGPwQAMJFDUCk0WI/dfMjBIDSjNgMYhu3faLUTpxUyjcJS6zHu2GIYBsVqZo/zivsvN4aegwABk9YBt3msIV6xIpZZ5zpyV0IzkKQCI46zuBf5AJHsRluFtVzk5XogKfThtYzYUxE5Qa3Qx1HEf7jtb8QQm3drMQyD6xuvAQAujX3qoe/vTGKK8sLWsFWP97fiiBfKcJuO11Paf3vlDn7/R/Oo0wwuee34xqdn8MyZzj786CQMQyORD7E9RaklJPJB/nsWnRs+O9tT5DKPgCQ69+DlIMxaBwiC5B1bBEFg1GboQcdWEkNmHQaO2d9MM5SqOQRSywd0tk1h2HZakM62drHo3Yhk15ErJdqeVmxtiFnpUvXILuo5TtiSHVuCwHa2rcPfmGKYK3ODdwi4TD547ZPw2SYF6WxrlwfdqxweER1bYc6xJdec9BxdXY1///vfx8WLF+Hz+fb9PsMwR/76o167H7dv3276tUIwNzfX1f0dldvBONw6JZZvL4h6HCYlEE7nJPvzu7oehkFJIn5/CYl18Z/0MwyDjeo7YMDASp3B/PwNAABJKGDAINKVTfz82pvQk51bOKjLrNvvjfev40ODxo7tZy3NCjfVfEay54dQMAyDGlNEmcmiQmdRYbIoN/5L40HHDgENYYSZdEBLmqEhzNCQZmgIE3sjVwJQAtIJGmlsA9jeZ4+doUaxC4Wrd/8Rw+pUW9tw65X4YCPS9d/5g/tb2WR7KILr9zFX6N7PkGM7lAMALN/fxJyut26Im+X/eXsLADCpaP4akKECiFcDsCi82FyOYBORPd/PU6wourx+C5kA+zV1hY3hvvmLOUzapbuYFfqcL9ZofOVHyzCrSXxpdhCfGDGDzIcxNxcWdD+dhmbqyNMRZKkwclQYdbDXBgIEjKQbJoUHJnIIGhiBJBBIJhGAuOK4GgYkc2Fcu3aNnZRI1nG3VMXPfnEVRpU4glszcOdgulxHIFPERzzGvr/+NgPDMCgzGeSoELJUGCVm5/xSE0Y4FKMwKzwwkE4QBRLpAo20f0nEIwZydfbvZP7OL2BR7H9vdhilNCuWvH/zFmrhowlbby9vQUkC9e11zMU2D3ytfM7tT52pIEdtI0eHkKO2+fUhCSXM5DDMCg+MikGo6lrUo8B6NIx1iPd5TzPs8fkj96FK7/xOS3XWTbbk3+767/rmGvvzSAfWMZfvrWuh2Ij9d9lVYeutt96C3+/HW2+9he3tbajVauj1epTLZWi1WkQiEbjdbrjdbsTjcf590WgUFy9ehNvtRiwWw+TkJGq1GhiGgcvlQjq9M5mL20YznDt3DhqNcDGbg5ibm8Ps7GxX9iUEhUoNkb+7i4+fHBT9uD3vRLAQTuHSpUuiT0F7kHKNwtbfL+KXRpy4fPmy2IcDAAgkl3D7bgQe6yl87Ozz/M9sbm4Ol888jZ/c/Q/QOCqYnejc7/WXqFX8+9txqJ0ezM6e6th+yutRAPdx0ufB7Oylju2nm9AMjXw5yccH08UIMsUoMqUoH6HhIAkFzHrnA/HBAZh1jo52cxwFmqEQfv8aikQEM5dmQLYRR/zQjSx+eDeA4VOPYbBLHQj7fYab/B8AiGN2+qwoHTMlWxR4yw+Ly43Z2Zmu77/TpEtVXP3uEi54bPjVpz/c1HtohsI/XP8ZCJD4+IV/tm9XUrGaw/rVn0FnUWB2iv2dXsrewd8vJ2EcGsXsufZu8DpNJ9YR31vYQo1ewhc++hi+/OxFQbfdafLldKOnaAnh9Bp/g6RRGjBqvwSffQoe6ymolVqRj3R/0ndvw59cxNnpSejURpxfr+G98D04Rk/hnMSqDTh2n4NvLocArOCpx8b68vOnGepUDeHMGgKN0u1idaezbdAywZduc64UqRFIGhG+exOOQRMujLT32TKVuwvciWNwZByzZ9v/7KzWKdz77hIueOx48kOPH/jaXrun6iRsZ1uE7w3c29lm5x2qA5Zxya4LNz64AoYpP/Q7tfxgDXmouv67rt28AiCFTz55GXZ9d3SCfuDBv8tKpdJ1E1FXz/DvfOc7/P/+i7/4CwwPD2N+fh6vv/46PvvZz+KNN97ARz/6UVy4cAFf+cpXkM1moVAocP36dbz00kvI5/N47bXX8NGPfhRXrlzBE088AZVKhYmJCVy7dg2XL1/GG2+8gd/8zd/s5j+rL7kXZ50AZ0Ts1+KwGzSo1GkUq3XJTUlZjGRA0QzOSySGSNMUPlh/FQQIPD7+/ENC4JCV7Thajy/g8vjzbYkKzTBmZ11anZ6MmCmzQk8vjp6naQrZcqIxhZCdQMj2YMX4GzQOklDConfBph9gpxDq2BihSWcXLUrTLiShwKjzHFa2ryKSWX+o/6gZLnnt+OHdAOaDSTxnHu7AUTZHviKRqYh92rH1gzutxxDXovPIlKI4NfD4IwvAdSojVAotsruiD8NWtksjeMwK5F+54wcAfOYIN6TdgmZoxHOBhoiwiFRxxyVp0w+yZcf2SThNvo5d24TEonPDj0VkSzHo1EaMNmJcW+miZIWt3RzX4vhiJQt/ahGB5BJC6VVQ+3a2nW5rwEq32Snubr/CZXfH1lG4vZ1GlaIx2we9fp2G62zzJ9nzMF9h/xZ3OtvYia4WXXc729rFonMhlL6HWr2yp9fVY9HzfVfdJJwtQaMkYevBe4vjjujS7Re/+EX83u/9Hr773e/C4/HgxRdfhEqlwpe+9CX81m/9FgiCwG//9m/DZDLh05/+NN599118/vOfh1qtxp/8yZ8AAF566SV87WtfA03TuHDhAj784eae7Mo8Gq5fSwrCltPATUasSE7YWpBYcfzy9lVkSjGcHnxi374EBanEqOMcViJXEW2z46gZxhoL9I1UZycjpktsZ8VRC0s7CUXXkS0lkClFkCrsTCLMluKgGWrPa5WkCjbDwJ4JhFa9G0atvSdu1Jpl3DmNle2r2IjfakvY4oqK54NJPDclnrCVawhKRtE6tpSN4+jPjq2Xb7Y2DbFO13Bj602QhBIXRz75yNcRBAGL3oVkPgSaoUASCngt7GdWINOfkc79oGgar94NwmPW4ZJExYlqvYxQ+h78yUUEU8so19jfD0koMWw70yjdnoRRK41rcCvsFhUGLOPwWbnJiJ2fKCwEx6U4fk9nW3IJicJOZ5tV74bXxooIYna2tYtBY4WCVB5N2GqsvzKlo3Xh8sXxsrC1L8VqDsHkEvypJYRS91Cnuc42rWQ629qFE7YypRicJi//dY9Zh8VIBpU6BU0HB1E9SChbgses7wlRUGYvoglbX/ziF/n//Td/8zcPff/ZZ5/Fs88+u+drCoUC3/zmNx967cmTJ/F3f/d3wh/kMWalMRHxtMsi8pEAjoYNNFGsYNTeub6mduAmIk4PWQ95Zeep1Iu4sfUmVAoNZkaeeeTrxlzTWIlcxXrsZseELa/VAJIguuDYapTH68QXPOt0DdlibJfzKtIQsBL85BkOlUIDu9HDO6+sejcsejeMGmtbkwJ7jQHLOLQqIzYTt/DEic+0fDNwybsjbIkJ59gyqkUSttSqxnH0n2MrXarijeUwpodsTQ8wWQ6/j0Ilg7PDH4VBc/C1y6JzIZ7zI19OwaxzwttwbAUyx8ex9d5GHIliBf/yydOSmgSZKyf4suNIZp1/AKBTmXBq4HH47JMYsp6EStHbERG+NLnIdvWN2tj1zVaHr5tCcSOYhEWrwrjE1mVCUKOqCDcE1UByGaUam2IgCQU81lPwNgRVs663RRiSIGHWOpEpxcAwTFs38pxjPl0+mrA1Jwtbe2AYBslCiJ+kGc/7+e+ZdU74bJPw2qcwYB4DSfaWoPogu0X+3cIWN5UwnC3xSZBOQ9E0tnMl/NKIsyv7kxEW0R1bMtJkOcYKW5MScGw5Go6tRKEi8pE8zEJIOo6tha2folIvYnbsWejUj74ADFomoFUZsRG/jScm/tuOXBBVChJeqx4byc4+ec42rO+WLjq26lQVmVLsoQmE+XKS7zXgUCm0cJl8bHxw1xRCvdpyrJ8EkYQCo45zWN7+BbYz6/BYT7b0/mGLHk6DBvMiT0YsVOsgCEAvlrDFRRGr/Sds7cQQR5p6fa1ewYL/ClQKDc57P3bo63dPYjLrnPCYdSCI4xVF/AEfQ/Qe8srOQjMUYtktXszKlKL89xyGYXZyl30KDqOnr4T/nXOQ7ZQd4aOI0he28pUaVuJZPDUx0DfXsnw5hUCKPQfD6ft8JYBWZcBJ9yy89klJd7a1i0XvQqq4jWI1e+gDgf3gha0jOrau+RPQKhU4OyD+g2KxYDvbVtm+rOQiilX2Xowg2M42Lm4t1c62djl0MmKm2DVhK5avgKIZDFn0XdmfjLDIwpbMvqzEstCpFLw1Xkwcu6KIUoJhGCyEU5hwGGHSiusYypbiWAy/B6PGhinPRw58LUmQGHOex1L4PYQzaxi2ne7IMY3ZDHhnPYpqnYK6QxZibiHViY6tWr3ScF9FGj1Y7P+xXQZ7BSyNUg+3eWynwL0hYOlUpr5Z9AvNmPM8lrd/gY34QsvCFkEQmBm2482VMFLFCmwilXvmyjUY1SrRfsd6FXsJL/RhFLHVGOKd0Duo1AuYGXmmqSjGjlsmBp99CmqlAgNG3bFybL1yJwCDWomnTz4cW+80lXoRwdQ9BJKLCKZWUKmzP3cFqWr0w0xh2HamrRvtXkGj0kOrMvA3cx6zDgqSwFZK+sLWzVAKDNPb/VpsZ5u/4YjZp7PNMQWvbQpOk7evqgAeZLeo0J6wpWq8v/3rUKlWx+3tND7kc0Kp6N+f9X4UKhn+HAxn1vjONo1SjwnXDHz2SXh6pLOtXSw6duhbpviAsGVpCFvZ7vVshbLstWioS4OJZIRFFrZkHoJhGCxHszjlNEsinsBFEZNFaQlbkVwZsXwFHx5rbgpnJ7m28WPQDIXL489BSR4uso27LmAp/B7WYzc7JmyN2o14+34UgUwREw5TR/bBlcdbjiAsVuqlnQL3hniVKUVQqGQeeq1WZcSgZXwnPtiIEh7kkJPZHz6OGL+NXzrx2bbiiG+uhDEfTOLjp4Y6dJQHk6/WRevXAgCSJGBQK/vOsZUpVfFmI4Z4xn34jVa5lsft4NvQqox4bPiXm9rHTvRhxx3ktepxO5xuO5LTSyxHM1iJZfGr50egVXUnxpIpxthoV2oJkcwGH9HWqy04M/gEfPYpDFpOQKkQP1reLSw6F6LZTVB0HUqFEsMWfU8IWzcaMfBeE7YO72ybanS2HR/X0G5RodWHTMCOY/4oUcQbwRQomsHlkf6PIbKdbUH4G5M0k4UQ/z2rfoB1qNqm4DL7eq6zrV10ahNUCs2e6zGwO4rYvQdO4YaI5pGFrZ5EFrZkHiKYKaJQreN0h2KIFF3Hz+/9f/DZpzDhOny8ON+xJTHH1gLfryVuDDGcXsNW4g7c5lGMOs439R63aQQGjQWbiTt4kv7VjowAHmv0hWwk8x0TtjjHlqUNx9a9yDXMb77BW713o1eb4bGe2okQ6gZaU4w9AAAgAElEQVRg0bt6spRTqux2Dm6n78NjO9XS+2e87AL4RjAlnrBVqcMkorAFsHHEfuvY+sGdAKotxBAX/G+hTlUxO/qppnuXTFoHCJB8DAxgI67X/Akki1XeKdyvvHInAKCzMUSaphDJrjdiNUvIlrmfNQGnyQufjY0Y2gxDfS8kPgqzzoVIdgPZUgI2wwBGbQb803oMNYqGSsLOlZ3iePFrGA4jW0qwkzRTS4/obJtqdLZJdwhNJzHr2S6hbJsF8tyDxaOUx3P9WrPe/hS2alQFofRqY6LrEso1tqaD62zz2SfhtU/CpO3Pf/9hEAQBs86FVGEbNEPzDsmdKGI3HVvsvjhRTaa3kIUtmYdYjna2XyuUWsF67CZypWRTwpbTKM0o4i2uX8sj3pM9hqHxwfqrAIAPjb/Q9M0BQZAYc17AneDbCKZWMOJ4TPBjG7U3JiN2sAiXL49vw7G1vP0+StUchm2n90whtOjdfW35lhLjzmnWORi/2bKwxU1xux5IdOLQmiJfrfFWebEwaVR8iX2/0EoMMV9OYyn8HgwaK04PPtH0PhSkEiatfU/0wdvo1PCnC8dC2CIJAp8WeKpouVZAMLUMf3IJwdQyahR73VYq1Bh1nIXXPgWv7Qx06s487Og1dmJgUdgMAxixGfDO/SiCXeyUaYcbwRS0SgUmm3BUdhuaoRDNbvKl23s624zD8Nr6s7OtXR7Vb9QsaqUCerXiSB1b3ETEx/uoOD5fTvG9gduZNV5Q1aqMOOmehc8+BY/1FFTK/r7WNItF50IiH0ChkuIFPk/jmtzNKGK4UUcgO7Z6E1nYknmIZX4iYmeErbXYDQBAshACRdcPdQvtnoooJRbCaQDiOrZWo9eRLIQw4ZqB0+Rr6b3jzmncCb6N9fjNjghb3KK8k6PLs+UaFCTRcnk3zVBIFcKwGQbxzNn/sUNHJ3MYbvModGoT6xw88astDTIYtxth1qpEm4xI0wzylbpoExE5jGolovmyqMcgJJlSFW8sh3B+yNpUDPHG1pugGQozI8+07Dw165wIpJZQrhWgVRn2TEbstYhVK8TyZby7EcOHx1xwGY9WhM0wDNLFaCNiuIhYdosfomHU2PjS7UHLREecwb2ORd+IgTVEhZFGr+lmqiBZYatap3B7O42LHptk+pDYzrYVBJJLCKSWUa2zN8K7O9u8tknoNeIPRJIaKoUGerXloRhYK1i1aqSP0LE1F0jApFF17L6jG3CdbWzEcBHpYoT/ns0wBF9jCIbT6JUF1X3g6wGKMV7Y4nquuhlF5EQ0j1we35PIqwyZh1iOsd1CzdxUtEq1XoY/eRcAKy4kCyG4TAfHTaRaHn8rnIJercCEQ5zFZ42q4Prm61CQKsyOfarl9zuMwzBpHfAn7qJGVQW34Y/ZOu/YSpeqsGrVLcdYMsUYKLoOh1FYt4JMaxAEiTHHeSyG30Uoswqv7UzT7yVJtkD+7fsR5Cs1GDXd7eUp1tj4n6HL+30Qo0aFfKXeN71Qr9zlYoiHu7XSxSjWotdh1Q9gwj3T8r4sejcCqSVkSjFoVQYMNxaygT6fjPijxSBohmk7hkjRdWxn7rNiVnKpMVADIEDAZR5lYzW2KVj17r44JzuJRcfGwDjnID8ZUcI9W3cjGdQoWlTxl2EYZEtxXkSIZjf5zjaDxoJx5wX47JPHrrOtXSw6F8KZ1bbXgladuu0HLLlyDUvRDJ6aGJBEr28rsJ1tK4249TIq9Z3ONq/tDLz2KfjskzBojk9nW7vsdg56MQkA0CgVcOg1opTHy46t3kQWtmQeYsexJXxUYDNxGxRdh1U/gHQxgljOf6iwpVMpoVcrJFUeX6No3I1kMDNsg4IU58nL7cDbKFVzuOD7eFsXTYIgMO6axoL/CgLJJYy7pgU9Pq/VAJIgOurYypRrsOhaX7RyZZ12g0foQ5JpkTHXNBbD72IjttCSsAUAM8N2/GwtgpuhFD4y3t0hDlyvldgdWwaNEjTDoFSjWnYuShE+hjh9uLA1v/k6GDC4NPorbU0t4xbS2WIMA+YxeBtumWBGuqKCELTTr1Wq5thoV2oJodQ91Gk2dqRSaDDmnG5MMTwt9xC2iFFrA0ko+H6jHWGrc9fNozIvUnE8RdcRyW7wPUW5MhdDb3S22afgs00e6862drHoWWErW4q19cDPolVjJZZt6wHL9WASDAPM9kgMkRVU2d7A7ex9MAwrqOrUJpwe+BC89slj3dnWLo+KxHosuq4K/eFsCXq1AmaRp93LtEfvr4JlBGclloXHrINZK/yH8v3oPADg8fHn8eadv0Y852/qfQ69RlLl8ctR9onleZFiiIVKBreDb0OnNuGc96m2tzPuvIAF/xVsxG8KLmypFCS8Vj02kp1boKdL1bas64l8EABkx5YEcJtGoFebsZW4A6rFQQYzXvbG6kYw2XVhK9fotTKqRXZsNcSsfKXW88JWtszGEM8NWjE5cLBjOJ7zYzNxBy7TCHz29qLUO5MR2YW0z9r/jq1yjcIbyyGcdpkPdGUzDINkIcyLCPH8zrXapHXw8a4B81hLEWKZvZCEAmadE5lSDAzDYNTGRfilK65yExEveTsvbO10ti0imFp5oLPtHLz2SbmzTQB2iwptCVs6Feo0g2K13rKLWerF8VxnGytmLe4RXhxGL1/87jDInW1HwaRzgACxp/cSYEvcb4XTKFRqXXHIhzIleMx6WRzvUXp7FSwjOMVqHZupAp4+OSD4tguVDMKZ+3Cbx+CxnoJaqUOsBWHrXjwn+DG1y81GcfwFjzjC1tzGa6DoGi6NfrbpKWD7YTMMwqofgD+5jGq9DLXyaH0rD8JNeKrWKaiVwt781CkahWod1jYcW4l8CAABm2FQ0GOSaR12kME07oZ+jlB6FT77ZNPvneEL5Lvfs8U5toyiT0Vkz/98tY7uSnvC88qdACr15mKIcxuvAwAujX6q7QXog0+IPY0pSMFM/wpbV1a3UajW93Vr1akawpk1XswqVtlaAgIkBi0TbOm2Y4r/uckIg0XnQroYQamaw0hDXJVyFPFGMAUFSeD8kPDxKrazLcKLCNHcFvBAZ5vPPoUBy7jc2SYg/Gdhsb0CeWtjMnW63Lr48IGfnZb6+Ih0hK1Kje1s86cWEUwuo0qxMUslqYLP/lgjbi13tgmJklTBqLU97NjierZyJZzssLBVp2hE8iWcdvX6aur4Il8VZPZwL87FEIXv11qP3QDA4IRrBgRBwGn0IZRe4Yt7D8Jh0OBGKIVKnYJGYIGkHW41iuPFcGzFc37cj83DbvDgpPvSkbc37pzG/Nab8Cfv4oQA29vNqM2Id+5HEcgUMeEQ9olqtuGYadVZyDA0koUQLDrnkURBGeHghK2N+EJLwtYZlxk6lUKUAvl8lT3/TEdYaNEMjdXINYw6z0GjbK+odMexVW/7OKRCs9MQQ+l7CGdW4bGexpD1RNv706oM0Cj1/EJaq1LAZdT0tWNrvxjiduY+7gTfQSi9Copmz2u1UocJ10V4GxFDeVJs59gtsA5ZT8Ch10hW2KIZBjdCSUy6zdCphLuFqNbLmN98A/7k4p7ONnejs81nn4JFJ3e2dYoH3autwglbmVKV7ypsljl/Ena9GuMSGJawFp3HyvbVhzrbJtwX4bVNYdAyIXe2dRCLzoVAahmVepFfE3HnUyhTwklnZ4XESL4MhmFdYmKRKcWQyAcx7rwgf961gSxsyeyB69eadAv/4bEWnQdJKDDmPA8AcJlYYSuW8x96M8sVyCcKFUlMqlgIswuvTjyxPAiGYXB1/YcA2DinELbncdcFzG+9ifXYTcGFrTE7VyCfF1zY4kZLcwuqZsmVU6hRFdiNcr+WVHCZfDBorI044uGTUjmUChIXPDZc8ye6LnrnBHBsBZKLeHf1e8iVk5gde7atbXD7z1fan0glBbLlKl5fDuHsoAVTB8QQGYbh3VrtDM14EIvehVjWz593Xouh7a4YqcMwDF6544dDr8GTo+yNbJ2q4h/v/i1qVAVWvRteG1t27DKPgCTEf4h0HNgtKgxZT2DUbsBiJCPJc9CfqyJfqQver3V983Ushd+DSqGVO9tEQK82Q0mq2xa2LI0+Im5d1izJYgVriRyeOS1+L1qqsI13Vr4LgIDL5GMnadonYdMPin5sxwVO2MoU43Cb2f7lIQv7UKUbTupQYx8ei3gPcv7p3suIZrcw6jgHBSHLNK0ih4Fl9sAXxwssbKUK20gVtzFsOwONihWmXCYfACCe2zr0/Q69tCYj3gql4LPqYdN31/GzmbiFaHYTI/bHjuRU2I1Z54TDMIxg+h7KNWGfEnN9IZ2YjJhpjJa2tFjwmCw0+rUMcr+WVCAIAmPO86hRFYRSKy29d2bYjjrN4HbDRdkt8gJ0bMVzrHsmmt1sexumXVHEXuaHd4NsDPGQ0vjNxG0k8gGMOacF6ciz6FxgQCNXZl1/wxY9CtV6yzdovcBcIIlQtoTnHxuGUsEu/zYTt1GjKjjv/RhevPSvcHn8OQxYxmVRq4vsxMCiAACf1YBSjZLMemc3Kyk2kjUjoLBVp2u4H52HTmXCf/fEV/Cxyd/ACfeMLGp1EYIgYdY5kS3F+TL0VtgdRWwFrl/rsgSK4+9FrgEAPjb5eTx/4QuY9j0NuzyIoKuYeZE/yn+NqwgId2EyIjd90SOSYytTjCGa3YTHelKOWreJLGzJ7GE5ynZqnGmjkPsg1mJsafyJXSPZnQ1hq5meLaeB7X5KSGAyYjxfRihb6noMsU7XcG39NZCEApfHPy3otsdd02AYGluJO4Jul3NsdWIyYrrM3nhaWowisv1akB1bEmPMyQ4vWI/faul9XIH89S7HEfmOLW37i494PsD/l6aptrbBObZyPe7YaiaGSDMU5jffAAESM6PPCLLfB3u2vFyBfB/2bL1yh73Wfuasj/8adzN3auBxUY5JBjDz5yDbNTTKT0aUXhxxuSFsCenY8ifuokqVccI9I9/MiYhF7wJF11CoZFp/LydstfhA4JpEhC2apnA/Ng+N0tD2MBKZo8NPKm58FgI7HVuhbBccW419DJnFcWytRucAACcHLouy/35AFrZk9rASy0KjJPmR00LAMDTuR29ApdDAuytyqFUZYNI6EM/5D31C5DCwF00pTEa8tc06Q6a7XBy/GHoX+UoSU0NPwqxzCrptXlSILQi7XXvnJjxl+Chia44ZTthyGGRhS0o4jV4YNTb4k3dRp5sXaTjnwHyXC+SP6thiGIafzknRNSSL4ba2Y2jsv5c7trLlKl5bCuKxAQseG3x0vHstch2ZUgynBi4LVmD+YGmy19K/kxFfuROAWkHiV84MAQBy5SS2M/cxYB6HWSe+Y+K4olZqoVObeJcCt/6S4mTE5WRD2BJw/XMvIt/MSYEHRf5WsGp3OrZa4VpAGsKWP7WEcq2AE+6LsrgqIhYdW9rOuVcB8PUzoUznHVvhxj7EqLyhGQpr0etQK7QYccjiarvIwpYMD8MwWI5lcdplhoIU7tTYzqyjWM1gzHkeSnLvTaDL5EOVKiNbShy4DbuEooi3Qt3v1ypV81jw/xQapR7TIx8XfPtGrQ1u0yi2M2soVoWbPum16EESBDaTwju2MuXWy+PZEfZBGDRWPhIrIw3YOOI0alQFwRbiiGcHrVApSMwHD/4MERou+tdux1a+kkKlXuQX0bHs4ZHs/eD2X+hhYYuPIR7g1qrTNdzw/wQKUokLI58QbN8PRh+G+9SxtZnM42YohY+fGuQnaa42BIVTsqAgOhadC4VKGnWqygtbWx1wOh8FhmGwkipjzG4QrIahUEkjlL4Hl2kEVr08iUxM9hMVmoUvjy+3KGxtJTBo0rVcOC80qw3nqiyuiotWZYBaqdsjrg4YtSAIINznjq1Q6h6K1Swm3BcfuleWaR5Z2JLhCWVLyFfqOC1wDPF+I4Y44Zp56HsuPo548E0dF0VMSiCKyBXHT3cxinhj603UqAoujnyy7elphzHumgYDBpstRsEOQq1UYNiiw0ZHHVvNC1vFahblWkGQbh4Z4RlzsYMlNuLNOwc1SgXODVqxEEqjTrXeDdIunGOr3amInFtrwnURABDNtdezZeQ7tno3ithMDHE5/AsUKhlMDn0YBo1wU3tNGjtIQsEvpH1WVlQI9plj64d3uWmI7DWXYWisRuegVKgx2hjoIiMell1xxJHGObiVlpZjK5QtIVWhBI0hrkavA2BkcVUCWBpJgHYcWxYdVx7f/HVoO1tCIFPErM8uao9VsZpDILkMh3EYdsOQaMchwz7gtOhcyJYTfD2DUkFiwKjj+686CdfjNWTqvrDFO1fd8mfhUZCFLRkevl9LwOL4Ol3DRvwW9GoLBi3jD33faWKnXsTzB/ds7Z6KKDa3wmlolKTgAuCjSBW2sbJ9FRadC2cGn+jYftibGwLr8ZuCbnfMbkQgXURNYNGBc2y1Uh6fLMgxRCnjMAzDpLXDn1hEnWotjliuU1iKtt4N0i5HnYrICVvjrovQKPXtO7bU3FTE3nRs5co1PoZ49hExxGq9jAX/W1ApNDjvfUrQ/ZOkAiatA9liDAzD7EQRM9ISFY7KD+6wwtYLj7GifjizhkIljXHnNFSK1noKZYRnp1smxndsSS2KON/oMbwkkLDFMAxWI3NQkCq+DkFGPNiKC+JIUcRWOrbmGjHEx33CVmu0yv3odTCgZUFBIlh0LjAMjVxlp17CY9EhlC2CYZiO7jucLcGkUcHU4lCqo1KuFeBP3oVNPyg/eD8isrAlw7Mca0xEdAn3NDyQXEKNqmDCfREE8fDpZjcMgSQUhxbIO/TsRVPsKGKdonE7nMbZQSs/VaqTMAyDD9ZfBQMGl8efB0l2blKVXm3GoGUc0ewm8mXhJsyN2oygGQYBgZ8+cwsoSwuOLU5MsMsXDknCxRHrdBXB1HLT7+N6trpZIL/TsXU0YcthHIbLNIJ8JdVWDJgT1nrVsfXDu4FDY4h3gu+gUi/g3PB/05FJaRadE1WqjHItz0di+qljK1Oq4mdrEcx67fA23ECrcq+RpLA0YniZUgwuoxZapQJ+iQlbNxqfr0I5tiLZdeTKCYw6zkGt1AqyTZn2USrUMGqs7QlbbZTHc8XxsyL2azEMg3uROZCEAhOuC6Idh8wOFv3e3kuAjQYWqxSyLU7dbJVQtsiX1XeT+7EboBkKJwdm5SmcR0QWtmR4lqOssDUpoGPrfrQxDXGfGCIAKEgl7EYPkoXwgQ4NqUxFXI3nUK5TXZuIGEytIJS+B4/1FLy2Mx3f33jjwt5KFOwwuMmIQscRuS6HVsrjk3JxvOTZmY7Y/DnITUbsZoE817HVThSRYRjE8wGYtA5olDq4zayoE8u2Hkfko4g96th6eeHgGGK5lsed0DvQqox4bPiXO3IMu0UFvVoJu16NYB91bL2+HEKNovkYYqVewmbiNsw6J9ymRwuKMt1j9xADgiAwYjNIzrF1vfH5OiOQsCV3vEkPs86FUjWHar3c0vt2OraaFx74iYhe4aKtrRLL+ZEpRTHiOCv3rkoE8z5DDDzmRoF8B+OI1TqFWL4Cj0WMGOI1EASJE+7975VlmkcWtmR4OGFLqChipVZEILUMm34QNsPgI1/nMvrAMDQfE9sPo0YJlYJEUmTH1k6/VueL42mawgfrr4IAgcfHn++Kij/qOAeCIFsSFQ7dpo2djLghcIH8ThSxBcdWIQStygid2iToscgIh90wBLPWiUByETWquae/00NWkATBR2W6Qa5x/hnbELbylSSq9RJvOXc1ItnRQ7oG98Ok6d0oYr5Sw2uLIUwdEENc8F9Bnarigu9pqBTCFFY/yIPTwLwWA/x95Nh65Q7Xr+UFAKzHboKi6zjpviw/HZYIBo0FClLFn4MjNgPihQqKVen8Xd8IJmHXKgQpVq7VK9iIL8Cose1bUyEjDpxbJtuia0urUkCtIJueisgwDK75ExixGeAWoc+IYzXKlsbL4qp02B3L5uBcVKEOPnDazrFi7pC5uwJnIh9EqhCGzz4FrcrY1X33I7KwJcOzEstg0KRracrcQWzEb4FmqEMVaO6m7qACeYIg4DRoRI8i3gpzExE779ha3r6KTCmKU4OPHygMColWZYDHegqJfADZUlyQbXKOrc2kwI4tLorYZBa+XCugUEnDYfTIN3MShiAIjLnOo07XEEwtNfUeg0aFSbcZN4Ip0HRnOxg4CtU6FCQBjbL1yygXQ3QaWaHBafKCAIFYGwXyRjV7/ucqvRdF/OHdAMp1Cp+b3t81lC+nsBT+BYwaG053sF/wwejDsFWPXKWGbIsTvqRIjaLxo8UgfFY9LnjY69ZqZA4ECJx0XxL56GQ4CIKEWedEthQDw9A7BfIScW0lixVspgo4bdMKcv3ciC+gTtca0Rv5VkQqPCjyt4JVp246ihhIFxHNlzHrFS+GWKeqWI/dhF5twZD1pGjHIbMXs9YBgiD3RhEtnXdscRMRux1F5J2r7tmu7rdfka8mMgCAUq2OzVRB0BjiWmweAIHxxtSvR+HkJyMe1rOlET2KuBBiu6emPZ0Vtir1Em5svQmVQoOZkWc6uq8HGW8jCnYQvGNL4NHlmXINOpUCamVzvWM7xfFyv5bU4eOIseYndM547chValhLtN5T1Q75Sh0mjaqtm7x4bqdfCwBUCg1shiHEc0FQdGsODb2aPf8LEnJ2NMvLN9mHGZ+7MLLv929s/QQ0Q2Fm9BkoyPa6zJrhweiDt496tv5pPYp0qYrPnPWBIAikChHE834M205Dr+nOABSZ5rDoXKjTNRQqWYzapTUZkevXOmMTpgvrXvQaAAIn5Zs5SbE7EtsqVp0a6SYfBnzg54rjxRO2NhN3UKMqODlwCaQsrkoGdqCL/YEoIis2hbOduyaHMqxo5rF0z7FF0XXcj92ATmXCsL3zdTPHAfkvWQYAcC+WA8MApwUStnLlJKLZDQxZJg4dzW7S2qFRGhA/TNgyaJAuVVEXeLpeK9wKpzBo0sFl7GzR6YL/p6jUi5j2Pd312NyI4yxIQoH1mDDTEX1WPQgC2BQ4ipguVVuKIXL9Wnaj3K8ldWz6QZh1LgRS7PCJZuAL5LvUs5Wr1AQpjudwm0dAM3UkC+GWtqUgSejVCr7MvlfIV2r48WIQk27zvjHEdDGCteh1WPUDhz4cOSoapQ5alZGPPnit3GTE3he2HowhctEbuTReeuyO4Pis0pqMeCPIutVPCyBsZUoxRLObGLKegFHbnb5Smebg3attObZUTTu2uImIYhbHr0Yan4WyuCo5LDoXKvUiyjX2868bHVucaCZE1LpZ/Mm7qNSLOOGeAUl0bjjYcUIWtmQA7ExEPOMSRti6H7sBAJhoogiPIAi4TF7kKymUqo8WPxwGtl8lKZJrK1OqYjNVwPkO92tlS3Esht6FUWPDlOcjHd3XfqiVWnhtZ5AuRpAqbAuwPQWGzfqOlMe3Uhyf4IrjZWFL8hAEgXHnNCi6Bn+yuTgiJ2x1q2crX63xEwlbgWEYJPIBmHXOPZPAXI0S72g7BfJqVc91bL16N8jGEC+M7ut6m998AwwYXBr9VFeeplt0LuTKKdTpGrwWVlTodccWwzD4wR0/TBoVnjoxAJqmsBadh0aph88+JfbhyTzAjqgQxaiNiyIK+0CoXeYFdGztRG9kcVVq6FQmqBSatoQti1aNSp1GuUYd+toPttiqi1mRiuNz5STCmTUMmMdh1jlFOQaZR2PRNQa6NJyDXKF7Jzu2ONHM08WOrXsR+UGT0MjClgwAYCWaAQCcdh/srmoGhmFwPzoPBanEqONcU+/h4ojxA3q2HHpW2EoUxek9uRXuTgxxbuPHoBkKs2PPQUm2XkwtBNx0RKHiiGN2IwLpImoCue0YhkGmVGu5OF6l0MKoEW8Cj0zzcHHEZid0Xuy2sFWpt1UcnysnUaXKe9xaQHNdg4/CqFHyUxp7hYOmIcZyfmwm7sBlGumaAMOKCgxypQTv2Or1yYh3IxncT+Tx7KQHGqUCgdQSyrU8JlwXOxrtlGmP3f1GI7ywJY1z8EYwCZNGBa/paB2sNENjLXodKoUWI46zAh2djFAQBAGLzo1sKQ6aOVyg2o2Fn4x48BqdYRjMBZI46TTBpu/MQJDD4MTVkwOyW0uK7Bb5AcBl0EJJEgh3smOrcb3v1lTEQiWDUOoeXKYRWBuTmWWOjixsyQDYcWwJ0bGVLISQKcXgs0/tcSQcBH9Tl390HJFzbMULrY0hFgquOL6TwtZ25j42E3fgNo1izHm+Y/s5DK99CkpShY3YAhjm6GXco3YDaIYR7EaxXKdQpWh+IXUYNaqCbCkuF8f3EDbDAKx6NwLJZdTqh7s0rTo1TjhMmA8kBTlnD4KiaZRqFD+RsBUSeTYaxhXHc5i0dmhVxrYL5HspilhoxBDPuMw4t08M8frGawCA2bFnu/b3uiMqRHc6tjLSiIG1yyt32OspF0Pkng7LE8CkiXlXv5HXwkb4peDYKlbrWIpmccFjA3nEv8dQ6h6K1SwmXBegVIjz4E7mYCw6J2iGQr6caul9nIP+sDjiWiKHdKmKyyLFEBmGxmp0DkqFWtR1tsyjeXCIAUkSGDLrOvqwiXNsdSuKuBa9DgaMLK4KjCxsyQAAlqNZaJQkb38/CmvReQDAhOvwGCKH08QuvA8qkHc2hK2ESJMRb4YawlaHJiIyDI0P7r8KAHh84gVRBRiVQg2f/TFky3G+dP0ojHEF8gL1bGVK7E18sxMR2d4iBnaDHEPsJcac06CZOvzJxaZef3HYhkSxAn+HI2Rc7M+gbv3GbL9+LYCLZI+gUMmgUMm0tE3OsdVpQU8oXl0MolTbP4YYSt9DOLMGj/U0Bi0TXTum3dGH4T4pj3/lTgAKksBzU8MoVXMIJJdhN3jknkGJolKoYdBYkCnFoFYq4DHrJVEefyucAs0wmBEgNiZHb6SPpeEeybQ4GczbZT8AACAASURBVNvacNAfJmxdaxTHiyVshTP3UaikMe6chkohjmNM5mC4eOjuIQYesx6hbKlj65xwtgibTg2dqvNuZoZhcC9yDQpShXHnhY7v7zghC1syYBgGy9EsTjpNUJBHOyVohsJ67CY0Sj2Gbaebfp9GqYdZ50Q85wfD7B9Xs/NRRHGErVvhFJQkIejkyN2sReeRKAQx4boIVyOaKSbjLm4y3dFL5LkJTxtJYRbp3MLJ2qRjK/kIMUFG2oy1OKHzkpcrkE907JgA8LG/djq24vkAAGJfkdVtbi+OaNSoQNEMKnXxBmu0wss3948hMgyDuY3XAQCzY5/q6jFZ9I2FdCkGk1b1/7P3XrGxpPe176qqzjkzZ+48e3OnkaWRZVkeK1iWD3yOrKtwrItr+EWAH2xAF7iAXvxkG1eADdiAAftCcLiGZftogGtrRiPNeOSxRrLSbHIH7swcupvsnFOF7z5UV5ObZLNTdWJ/v5cByGZVcU+xwvrWWn/YDdq+Frb2Unn8bDuCj8z44DLpsRa6CwKJurV6HLvRh1wpBV4oYtJhxm4iB1Hq7t/1UjnefX20NWGrwGexE3sMh2nomGOV0jscTEYMNfRzjkoU8XT38OKOfD7dGu+OsLVKxdWex6A1w6A1v9D1NmI3gheltpkbAsl8x2KIodQW0oUoptwv1Z1sotQHFbYo2EvnkS7yuKBCv1YwsYY8n8a051rDHR5eywR4sVh1lcjdRceWJBEsBxO4NGSHTqP+5ApeLGFp6y1wrAa3pj+l+vabYcx5AVpOj43Ig6piY70ojq0tlWIVSodDvY4tpTieOrb6C4fJB6dpGP74M5SE2hHkG2Pyg3K7e7aU2J+1wY4tQiREM/5jxfEKSiS70QJ5RWBL90EcMVvk8eYTP857bccGcWxFHyKa2cW051rHRWiz3gmW0VQepMcdpr6eividJ7sgRI4hEkKwGroDluEw2+YJk5TWONqzJUikrb0y9XCvfD29Md6aW309fA8SETHvu0UrAXoYm7G5yYj2uh1bETDMwUJUJykKeWxFH8Jm9MBnPd7vSOkdbEYvMoUYREleSGznZMQ8LyCeL2HY2hlha2X/fQC0FqAdUGGLgqch9SYirpdjiHN1TEM8iqdGeXI3o4gbsQyyJQFX2xRDfLj7A+RKKVwZ+yWY9e2dulgvHKvBpPsKssXEqRHReph2qRxFLK8I1tuxFc0GwLHaiiuD0j9Me65CIiJ2Yo9rfvbGmPz32W5hK11szrGVLsTAi0V4qog2Hss4GIZt3LGlk4+jH3q2DmKIky+83EpExNLW22DA4ubUJzp+XCzDwm70IJkPgxCCMbsZiXypL/5NT+L1R3KX229cmUAks4tELoRJ92XotZ2b+ERpHNsJBfJbKk8UbpR7/jh0HIvLQ609m6zu3wHDsE09H1I6h83oBgMGqUaFrTo6tkRJwpI/hks+e1PDV1plM/wAoiRQcbUPsBu9ICBIF2QH/mi5+yqQUn/BaU+ZiGhv//2RF4vYjCzDondi2D7T9v0NGlTYouBZWdg632LEjhdL2Io+gkXvqjgPGsFbmYx4soji7mIU8UGwff1a2WISD/3vwaiz4ur4R1XffitUpiO2GEeccMhFuGo9oFeiiHVMRRQlAYncPpzmYbCM+m47SnupxBHDteOIPqsRY3YT7u52xrFlabBjK1Iujq/mRtJwOrjMo4hm/JVVynpQXhD6YTKiEkP83ML0C19f219CKh/GueHbXRu/bjd5IYgl5EopTPTxZMRcScA7z4O4PGTHnMdKe436iINpYOFK52k3hS1elLAcjOOlEQe0XPOvDNGMH7FsEOPOizDqrCoeIUVtOFYDi8HVsGOrEkXMV18MeBZKIVMUutavtbJ/BwwYzPludmX/lPqxHxqmAQAjimMrqb5jS3GBjXagOH4zsgxBKmF+6BYYhsowakP/RSl4HpaLilt1bO1EH0OQSpjzXW9qJUQWHjRV3UEHUxE7L2wtl4vjr46q76Za2vweRInHzalP9lyR5ah9HnqNCZuRZUgtxBF1Gg5jNpPqji2bsbawEM/tgRAJbjPt1+pH7CYvnOYRBBIrKAq1H2hujLkQSOUrK3DtQBGQGp2KqBTHn9Yv47NOQiJi5bP1cODY6m1hq1oMUZB43N1+BxyrwcLEq107vsNumfE+LpD//koQeV7Eb1wZhyDy2Ajfh0lnw6jjXLcPjVKDwy9zE2Vha6eLwtbTUBJFQWq5X2t1fxEAcI5OAOsL7EYvCnwWRb7+658ibCUK1R1bd3a7VxyfyO0jktnBqPM8zPrWq1co7eWwyA+g0n8VbINj60DYar9jS+54YzDvo9fCdkCFLUrFsdVqx9ZauPFpiIfhWA3cllHEs3sQxOM3RodBB5ZhEOuCsPUgmACgvmMrkt7BWvguXOaRnlxBYlkOU56ryPNp7Cc3WtrWtMuC3WQOgth6EW6ygfL4WLlfy00ngfUtM55rchwxWjuOqPR2tDOOmC4Lq+YGoxSRdLk4/pRz0WtrvGdLiUT2emzuzaeBE2OIz4I/Ra6UxKWRV7r6wqGICql8GGNlx1Y/9mwdjiFuRx+BFwuY990CS1eHex6TzgYNp0OqRxxbynX0xljzwpYoCVgP34NBa8G486Jah0ZpI0dFhXo4cGydImxtd0/YWqmIq9S52g/Yj3S9HUQR1V+0DJbv8yNtLo9P5SPYT21ixD4Hi6E91TaDDn3KoeBZKIUhq6HuCXMnkS9lEIivwG0Zr9wQm8FrnQCBVCn7PgzLMnCZdF2JIi4H43Cb9BhR0aZKCMHPN74DAHh55jM9+9IxU5lM11occcplhigRVV4UGymPrxTHU2Grb5n2XAVQ33RE5QXsXhuFrWamIhIiIZYNwG70nurM9NboGjyJfokinjQNsSQU8GDnXWg5PV7qchS78jKXC2PcLosK/RZFlCSCNx7vwmcx4AOT7kMxRLo63A8wDAO70YtkPoKJ8kvWdqJ7wpZyHb0+1vxL2E7sMYpCDnO+G2BZWgfQDxwVFer6GUPtjq3F3Sg0LIOFFh2AjSJJItZCS9BrTJhwXerovinNYTE4wTJcJYqo9F8F2nBP7pRja5WKq22nN9+kKR2jwIvYjGdajiFuRu6DQMJcixOXahXIu036jkcRM0Uea9E0FkadqpZNbkUfIpTaxKTrMkYcc6ptV22G7DMw6qzYijyEJIlNb0dZfVYjjpgodzjY6+jYimUDYBgWTtNwy/uldAeb0QO3eUyOI9aIRiiOraU2ClvZJqYipvLRU4vjFSx6J4w6K8LpbRBC6tq2uQ+iiLmSgDef7OKcx/qC8/WR/4coCjm8NP5RGLTmLh4hYDcciiKWHVs7XRQVmuH9nQj20wX8+uUx5EoJBJNrGLJNd623jNI4dqMXEhHAsVnYDVpsqzRNuBnu+eNgGODaaPPCluKUmffRl7l+4Wi/UT0cRBFPdg7zooR7/jiujjhh0HZW4NyNP0OBz2DWe73hie2U7sAyHGxGN5L5EAghcBp10GvYtkyJVQrp29mxJREJq6FFaDkDJt1X2rafQYcKWwPOaiQFQlovjl8L3QMDtlI23ixKgXy1ni2PWY9YrgRJqu+FTw0e7iVAiLr9WoLE487Gd8EyHG7PfFq17bYDlmEx7b6KopBDILHa9HamnMpkxNZfFBXHVi2XoUQkxLJBOExD9GGmz5n2XgUhErajj0793JjdBI9Z39YC+cpURF3951St4ngFhmHgs04iV0ohW0zWtW1rxbHVu1HEN5/4kSuJ+K2FqcoCQb6UwaPAD2HQWnB59MNdPkJAq9HDpLMhmQ/1bcfWtw/FENdCSwAILY3vMw6LClNOC7bi2bpFbjUhhOCeP4YLXlvTE+yyxSQC8efwWCbgNA+pfISUdnEQRQzV/TNmnQYcy1SNIj7aS6AgiLg10Vm3FgA6QKNPsRu94MUi8nwaDMNg1GZqUxRR3uZwG4WtQGIFuVIKM94FaLjOTwQdFKiwNeA8LfdrXWyhXyuZD5cLGedbnnZj0Tth0JoRyZzs2HKZ9ZAIqQgbneCBUhyvYr/W08CPkSnGcHHkQ32xkl6ZjthCHHHaJQtbWyqsPicrjq3Tbw6pfBiixMNtpjHEfucgjrh86ucYhsGNMRc2YhnE2xRbrkxFbCCKqJTBu63Vi+MVvFY5qhdK19ezVenYKvSuY+ukGOKD3XchiCUsTPxKzwzOsBt9yBaTMGoJLHpN30URX3+0A4OGw6vzPqzuL0LD6ip/O5T+4HC/0YTThExRODXe1S42YhkkCzyut9CvtRZaAgGh0Zs+Q68xQ68xIZmP1P0zDMPAYdBVfT5/f0fp1+rsM2++lMZu/Clc5hHatdpn2I0+AAfOwVGbEXvpPESp9a7ewwRSOXjMeug17XMS0hhiZ6DC1oDzPCwLW+dbiCKuh+4BaL40/jAMw8BjmUC2mESulDr2fbep85MRl1Uujs+XMri/8x/Qa0xYmPwVVbbZbrzWSZj1DmxHH0GQmnOFTLvUiyImCyUwTO0oWJQWx58ZrAY33JZxBBOrKPCnu/6UOOK9siitNgdTEetfdYtmdsGAgasOkVUpkA/XWSBv6XHHVq4k4DtPdjHvsWKhHGnKFOJ4FvwpLHonzg9/oMtHeIDdJL90pQsRjNtNfeXYWouk8WgviV89P4J0YQeZYhzTnqs9IxpS6qPyMpcPV5zO3SiQX9ptrTieEILV/UVwrKZlNz+lsyhdb+lCtKEKCrtRW6mKOMqiImyNd7Y4fi10F4RIVFDoQ44OMRixmyBKBOGMuu+AgVS+rf1aRT6H7egjOEy+U6diU1qHClsDzsFExOaELUII1sN3oWF1qmWGKy91J8QRPWb5Ab2TBfLLwThYhsHlYXWmdd3b/nfwYhHXJ1+FXtP+0bJqwDAMZjwL4MUi/PHnTW1jwmEGwwDbKjygJ/M8bHotWPb0zrNY2SXjqhH/ovQHM56rIKgdR7xRfnBuVxwxXXFs1SdsSURCNBuA3eSDlqvdC+e2jIFluLoL5C093rH13afHY4j3tt+BRETcmPp4T8WED5cmjzvMiOaKyPO9+e96lDceKzHEcToBrI+xGt0AGCRzYUw65AUhNe6bjXJQHN+csBVKbSFViGDK/RJ0GoOah0bpADajB4RISBWidf+Mw6ir6i5c3I1Cr2Hx0oh6tR61IIRgNbQIluEw02IHMKXz2KpORlRvwSlT5JEq8G2diLgevgeJiJj33Va1q5lyHCpsDTjPw0noOBbT5VXBRgmnt5EuxDDpvlLXC1s9KD1bkROELbcibHXIsUUIwYNAHOe9Vhi1rb98xbP7eL73c9iNXlwY/qAKR9g5Zrzl6Yjh5uKIeg2HUZsJmypEEROFEux1TPGMZgMAGLjMIy3vk9J9pisTOk+fjnijPMFrabf+B/JGUASkeqOIqXwEgliq2a+loGG1cFlGEc0GIIi1XViVKGKPOrYqMcRrcgwxkdvHWmgJDtNQz71sHI4+KD1b/RJHfP2RfM/85AUPtqIPYTW44bNNd/egKA2jYbWw6J1I5sOYdHZP2Lrrb82xtRqivUb9jN0kXwtTDUxGdBh0yJYE8OKLUbECL+JBII7roy5ouc69ekYzu0jk9jHpvtz14SSUxlEWmlIVYas8GVHFnq1gZSJi+4St1f1FMGAx52s92UQ5HSpsDTCEEDwNpTDvsULT5I1mPSzHENX8Y/VYJgAwJ7oVXB2OIu4kckgWeNX6td7f+A4ICG7P/Hrfjb12mUdhM3qwG3sCXmyu72PaacZOIgdBbC0fn8yX4KgxEZEQgmgmAJvRQ6M4ZwSLwQmPdQJ7iTUU+OoC6azLCptBW3kxU5tKx1ad5fFKv1atiYiH8VknQYiEaLl0/jQqUcQedGzleQHfeezHnNuK64rguPU2CAhuTn0SLNNbjyGHow/KZMR+iCPGc0W8tx7CL0x6kCs+hyjxODdEV4f7FbvJiwKfwZhdfk7Y7sJ0znv+OCYcpsqCYiPwYhEb4Qcw6x0Ysc+24ego7cZ+xC1T38/oyj/z4jPig2AcgkRwa6KzMcRKaTydyNmX6DQGGHXWg46tsqtKzcWmQEXYak+CJpYJIJr1Y9x1seUeakpteuuJktJR9tMFpAp80xMRJUnERvg+DFoLRhxzqh2XTmOA3ehFJLMLibwogChRxFiHoogPgnJHTyujrhV2Y88QSDzHiGMe484LLW+v08hxxGsQJB47sSdNbWPKZYEokZZuSpJEkCrysBtPj4FlijHwYoEWx58xZjzXQECwFakeR2RZuUD+WThVEaHUJFMUoONY6OosGj2YiFh/t8JBgXztOGIvRxG/+ySAbEnAby1MgmHkBYvt6CN4rZOYcF3q9uEdw6SzQcNqkcyHMaZMRuwDx9Z3nwYgSgS/cWW8vDrMYM53s9uHRWkSRVRwGeWXrk53bO2l8thL55uOIW5GliFIJcz7boHpMfGaUh+Hp3PWi6P8XJYsvHjfvbOtFMd3TtgSRB7r4fsw6WwYdZ7r2H4p6mI3epEpJiCIPEbL92RliqEaBMr393ZFEVdCSi3ArbZsn/Ii9G4zwDwrF8dfaLI43p94jqKQw4x3ASyjrvvIa52AIJaQzL04arjTUcTlgDrClkREvL/xHTBg8IGZz/TtKnplOmKTccRKgXwLD+npIg9CAHsNxxYtjj+bTLnlCW+bNeOILhByMNVUTTIlvsGJiEpxfP2RWJ9NFrbqKZA3l4WtbA9GEb91fxOAPA2REILFze8BAG5Nf6onr4MMw8Jm9CKVjxwIW11wyzSKEkP81XMGhNPbGHWeg1mvTi8kpfMoooKWSUHLsdjpsLDVcgyx3PE2T1/m+harwQWGYRtzbJWfy472bN3Z7bywtR19BF4sYM53s+ecwZT6ka+FBKlCpC0dW8E2OrZEScB66C4MWgvGnRdV3z7lOPQvfYB5FkoCAC74mnv4XQvdBQDMqTAN8Siecs/W0QL5Tk9FvK8IWy1GEZ/v/RzJfAjnhl+G0zysxqF1BYdpCE7TMPzxZygKja+YKBOeWpmMqKwE1nJsxcrClosKW2cKi8EBr3USe8l15Evpqp+7UZ6M2I44YqYo1D0RUSISYpkAHKYhaBroITTr7TDp7Ailt0EIOfWzGo6FUcv1nGNLiSHOui24MeZCMLGKveQ6xpznMdzD8SS7yQtR4uEzy/+evR5FLAkivvc0gBmXBZBWANDoTb+jRGJThQgmHKaOO7ZaKY5P5SPYT21gxD4Hq6E5YYzSfViWg83gRjIfrnkPUnAYqwhbOxGYdRpcbDIh0gwrlY43Kq72M4edg+3s2BppQ8fWTuwJikIOc74bfVc/069QYWuAaWUiYkkoYCf2GDajt+5C5EaoViDf6amIy8E47AYtJhzNK/lFIY+7W/8OLafHjcmPq3h03WHGuwCJiNiJPm74Z6dd5dHlLQhbygNTTcdWtixs0SjimaMSR4w+rPoZxWmw1IbJiOli/Y6tZC4MQeKbuk76bJMo8BlkirV/B4teU5nW2CtUYojl0vjFLdmtdXPqk908rJooD9JWvSwm9HoU8b31EFIFHr9xZRRroSXoNSZMui93+7AoLXDwMhfClNOMvXQeRUHs2P6VBYGbTQhbqyHFrUXF1X7HZvSiJORR4OsTVpUoYqJwIGxlijye7Kdwc9wFju3Ma2emEEcwsQafbbryt0TpT2yV3ssQrAYtLHoNgqp2bMnbakd5/CrteOs4VNgaYFqJIm5FH0KUBMx5r7clTuI0D4NjtccK5JXy+FgHHFt5XsDzcBrXRp0t/Y4Pdt5FUcjh6vjHzkRx4MFkusbjiGpEEZPlByZHDcdWNOOHWe+gk3DOIFMeOY64Ea4eR7zgtcGo5drm2LLo6nNsRZvo11LwWicBAKFUPT1b2p5zbCnTED93fQpb0YeIZvyY9lxry2KImigvQqIYh1HL9fxURCWG+Oq8gAKfwYx3ARzb+hRfSvcwaC3QcQYk82FMOOR72E4HI7H3/HG4TfrKAIV6kYiE1f1FaDk9ptxX2nR0lE5hPyQq1PX5Exxbd/0xSIR0NIYoi6sE53zUrdXvHB1iMGozqe7YYhhgyKqusJUrpuCPP4fHMgGneUjVbVOqQ4WtAeZ5KAWvRQ+nqfGJN+sheRrirK89o9pZhoPbMoZEbh+8eCBiaTgWDqOuI1HEx3tJSIS0NBExlY/iSeC/YNY7cHnswyoeXfewGd3wWMYRiK/WvYqnMOEwg2Fac2xVooinOLZypRQKfIYWx59RzHo7fLZp7Kc2kSulTvyMhmOxMOrEo72Eqk6HkiCiJEp1O7aUiYjNObbKPVv1FMjrNciUekfYyvMC3ni8i1m3BQujdixtvQ0GLG5OfaLbh1aTgxHjEUw4zD0dRSSE4PVHu7AbtDCyawCAc9Qp0/cwDAObyYt0IYYppywubcU6I2wl8yWsRdO4Ptb4ol4wsYpcKYUZ70JD0WtKb3L4WljX58vPZalD5fGLO3K/1q3xzghbhEhY3V+ChtVVFmIp/YtF7wDHapDKyefgqM2IUKYAvsXp6gqBZA4+iwFaTl1JZC28BAJCo7AdhgpbA0pRELERy+BiE/1a2WISweQafLYpWA3tu1F5rRMgIJUXQwW3Sd+RKKIyEfHqiKPpbSxuvgmJiLg9/WvQsPU5PPqBac81EEjYilSPgp2EXsNhxGrEZlyFKKKx+kNzlPZrnXlmPFcBkFPPwRtjLggSwcNgQrX9ZsvikaXOjq1oxg8GbEPF8Qou8yhYRoNw3Y4tvu4ulHbzvacHMcS10F2k8mGcG74Nm9HT7UOriXKMyXwI43YTQplCR2NgjfAgGMdWPIv/dsWD3fhTOM0jPe+Io9SH3eiFRERMOORzb7tDjq175W7RZorjV2j05kxhN/oA4Nggp2qc1LH1flnYenmyM8LWXnIDmWIM056r0GoaX7in9BbKQJdkPgRCpEoX1p4Kri1CCAKpvOrF8YQQrOzfAcdqKkO3KJ2BClsDymokDYkQnG8ihihPxCOYbUNp/GG81QrkzbJjq90vcMvB1iYi7iXXsRV9BJ916sytGs14W4kjWrCTyEFocrUllVccW9WFhVgLLhlKfyBPR2Swccp0RKX4eEnFOGK6qAhbtR1bEhERzQbgMA9BwzUubHOsBh7LGGLZIHixdOpnzXoNBImgpNIqZqsoMcT/cW0M97bfAcdqsDDxapePqj40nA5mvQPJfBhj5ShWoEfjiK8/kqOuvzqfBSESjd6cIRRRwWeWF/K2O1Qg32xxfJHPYTv6CHajr/L8Rulv7CZF5K9vMmKlY+uQsLW4E4XdoMWcuzNVHJVeI+qUOTPYjV4IEo9cKYVRu1Ig3/o9OV3kkS0JqhfHh9PbSOUjmHK/BL1G/e4uSnWosDWgVIrjmxC21sN3wTAspss9N+3CY5H7ZSJHYjhuswG8KLW9T2Y5ILs8Xhpu3LFFiIT3N74DAHh59td7cqx9K5j1Dvhs09hLbiBXPDkKVo0ppxmiRJrurVFKSU+LItLi+LOPSW/DkG0aodQmssXkiZ+5qUxGVLFAPlMuaK+nYyuZC0OUeHhaEFi9tkkQSMcGaRxFEdp6oWdLiSHOuCwwss+QKyVxaeTDMOubm8DbDexGH/KlNCbs8v/nXi2Qf/3RLjQsYGLXwDIcZn3tXXCidA572Tlo0cmCVqeELaWXsFHH1nr4PiQi4tzQrTP3zDOo6DUmGLQWJOuMIjoMimOLL/+3hJVIGrcn3B05J0pCAZvRh7Aa3BiyzbR9f5TOcLhnSyl5V6NnK5CUtzFqV1d8Wtl/HwAVV7sBFbYGlOdh+UXwwlBjLxrx7B5i2SDGnRfaXspt1tth1FqPO7ZM7Z+MSAjB/UAcc25r3ZGjw6yF7iKa8WPWe71SAH3WmPEsACDYjC439HOVyYhNPqQn87XL42OZAAxaC0y6zo2WpnQexTm4FTn5HLwy7ICWY3HXH1Vtn0qPlbUOx1akheJ4BZ+1vp4tRWjL9MBkxLeeBpApCvjfFkaxvPuf0HIGXB3/aLcPqyGU0uQxu3y92enBni1/Moc7O1H89ysmpAohTLgu0WEZZwi7SXZssZCf1zrp2DLpOJzzNuawWd2/AwYsZn0323RklG5gN3qRKcQgSLXvLUoUURnyo/Rrdao4fjPyAKLEY56Kq2eKyhCDXBgj5dhgMKmCsFWZiKheFJEXS9iIPIBZ78CIfU617VLqgwpbA8rTJh1b62G5NH6uA6vCDMPAY51ArpR6wZHhNss3znYWyO+l84jmik3FEHmxhKWtt8CxGtyc+lQbjq43mPa8BAZMOZpaP1NlYavZnq1a5fFFPodMMQ6XeZQ+2JxxJt3yObhZRdjSazi8NOzAg0Ci6ejrUdLl868ewbuV4ngFr00WxmsJW4rQ1gsF8koM8cNTe+WJsB+FXqtuh0W7UVaIPcYCAMDfg8LWG49l4fRX5tIAaGn8WcNqcIEBi2whgiGroSMdWwVexOP9JBZGXODY+l8RYpkAolk/xl0XYDoD058pB9iNXhAQpPO1F4isei0Y5mABcnG3XBzfIWFL7nhjME8j2WeKFxxbdsWx1fo9WXF9qRlF3IosQxBLmPfdAsNQmaXT0H/xAeV5KAUtx2KmLDLUAyES1sN3oeX0GHdeauPRHaD0NByO4XjMBgBAtI3C1v1yeeq1JorjH+7+ALlSClfGPgKLofni+V7HqLNi2DGHcHob6UL9Ua9pp+woaHbCU6Li2DpZ2IqVY4huWhx/5jHprBiyzyCU3kK2eHJB/I0xFwqCiKehk+OKjZIp1d+xFc34wTAsnObhpvdn0tlg1jsQSm2f2iuoCG3pLju2CryINx77cXlIh3h6EQatBZdG+28irPIgbdLK16ndZGfcMo0gxxAlmLhNGHVWjDrPdfuQKCrCsRpYDS4k82FMOszYjmchSe3tFn24l4AoEVwfa2xRk1huJgAAIABJREFUbyW0CABUUDiDVNwydfRssSwDm15biSJWiuMn2j80JJELIZzexqjjXF/F3im1ORjoEq64q9SIIgYrUUT1Ft5WaMdbV6HC1gBCCMGzcApzbgs0DYw33S932Ux7rjZVhNwMJxXIuzoQRVT6ta426NjKFpN46H8PRq0VV8d/uQ1H1lvMlEvxqzlmTkKJIm7GWnRsVYkiKhMRqbA1GEzXOAdvqFwgX+nYquHYkoiIWDYAp2mo5YmoPusUikIW6UL1FfNe6dh661kA6SKP37mZhiCVsDDxKrRc9T68XkV5mWMh3wt6rWMrU+TxHytB/OZlCYJUwLzvFliG6/ZhUVTGbvKiKOQw59aiJErYz7T+MncalX6t8fr7tURJwHroHgxaM8ZdF9t1aJQucdgtUw8Oo67Shbq4E4XXoseEo/2O3dV9WVylztWzh5bTw6y3l6OIZceWCvfkgyiiOo6tVD6K/dQGhu2zsBoanypLaR0qbA0goUwBiXwJF3yNrWishe4CQNunIR5G7qZhXojhuM1lYStbaNt+HygTEUcaE7aWtt6CKPG4OfUJaLmzP2Z4yv0SGIZtKI44qTi2mo0i5kvQcSwMmpNf4mKV4ng6EXEQqERiq0xHvKFygXxlKqLudMdWIheCKAkt9Wsp+MpxxFBqq+pnlOPpdsfWa/e34DaV4DZswKJ34fzwy109nmYxaq3QcnoU+Bj0Grbnooj//jyIoiDhozOy8EZXh88miqgw5xYBtL9n614TxfG7sacoClnMem+AY2s7WSn9hc140G9UDw6jDol8CeFMAVvxLG5PeNpeCyEREWuhJeg0Rky4O5MooXQWm9GLXCkJLSvCYdQhqEZ5fHkbanVsrYaouNptqLA1gDQzEVGQeGxGlmHS2TFs79ykEZ3GAIfJh2jGD4nIHTmeirBVOu1HW2I5GIdZp2koqhlJ72IttASXeQRzA/KSodeaMOY4j1g2UPdqnl7DYdRmxGaTUcRkoQS7UVv1QSma8UPL6WE1NN6PRuk/DFoLhh1ziKR3TozEXhtxgGWYygtbq2Qrjq3TX+Ciabn/yKOCsOWto0DeXHaQdbNjq8CLeP3RLv7nQhwEIm5MfbxvX3QZhoHd6EUqH8GE3dRzjq3XH+3CZSzBpNmHzzpVEUAoZwvl/+uoVXaoNzt0pV7u+WPQsAyuNDANWone0Je5s4nF4ATLcHU/49kNWqSLPH6+LU9SvD3e/n4tf/w58nwas97rLTukKb1JxTlYkCcjqtGxFUzmwLEMvJbWjQgSkbAWWoSW02PK/VLL26M0BxW2BpBnYVnYOu+rX9jyx56BFwuY9S50vAzPa52AIJWQyO0DaP9UxJIg4sl+EldHHGDZ+laZCCF4f+MNAMDLM58BO0CFgTPeBQDAZvhkx8xJTLss2Elkmyr0Thb4qsXxvFhCMh8pF8cPzv+DQUeJxG5FHh77nlmvxUWfDXf9cVX6aQ6mIp7+8BzNtl4cr+Ayj4BjtQidImwdOLa6J2y9/SwAqy6Na0MROE3DlWtDv2I3eiERERd8DPbSefAqDSBoFVGS8J3Hu/jkOVnkmKeCwpnFVo7E2vWys2CnjcKWKEm4H4jjyrAD+iqO6KPkiin448/gtoy31CVI6V1YhoXN6EEqHz6151HBbtSBEOA/VvYAALcn2y9sUXH17GM3ylNiU7kIRu0mxHIl5PnWnncCqTyGrcaGBmVUI5hYRbaYxIxnAZo+rF84K9A3vwHkedmxdbGBKOJauBxD7MA0xKN4jhTIK1HESJuiiE9DKQgSwdUGYohb0YfYT21iwnUZI47BGu864boEjtVgPXy/roceAJhymiFIpKnyx0S+VLU4Pp4NAiC0X2vAmHRfAQMWm1XiiNfHXEgXeaxF0y3vK11nx1Yk7QfLcKq87LEsB49lDInsHnjhZEFfcZBluxhF/Nb9Lfz3yyEwDHBz6hN9L/ArosKsSwQhUCX6oAY/3Yogmi3gF6cS0LDairBLOXsoLgU9J1+72unYehZKIc+LuN5ADHEtvAQCQgWFM47d6AMvFpEv1b6HKs9n318JAmi/Y6vAZ7ATewKnaRguM332O6scDDEIVTqxWrknE0IQTOVVm4iodLzRhabu0t9PnZSmUKaDXajTsVXkc9iNPS3fNEbaeWgn4rUoBfKyW6Hi2GrTVMRG+7VEScDi5nfBMCxuz/xaW46pl9FpDBh3XkQyH6q46mrRbIF8SRCR50XYDbWK42m/1iBh0Jox4phDJLN7YsH6zXLP1pIKPVuZOjq2JElELBuE0zSsWhTPa5sCAUE4s3Pi9y1djiIWeBEPdp/h5mgaXusUxl3933NyEAOTY+87id6YjPj6o12cc+dg0OQw5bkKrebs9zkOKgatGXqNGaIkP5dst/EcrBTH1zkRkRCClf1FsIwGM14qrp5l7CZlKl2o5mcVYWs5mMC43YRhlYSDaqyF7oEQCeeGbre9y4vSPQ4PMVCmGAaSzQtbiXwJBUFURdgqCjlsRR/BbvRWhp5RugMVtgaQ5+EUPGZ9ZbpgLTajy5CI2BW3FgA4zPJUMWUyokHLwazTIJZrT8fWckB+gLw6Wl/HxJPAj5EuxHBp5EMD23OiPNTWWyI/pQhbDRbIH0xEPNmxFSvHv+iq3eBx2oROpQhZjZ4tpZzdWkVcBYB4bh8SEeC2qiew+qxygXy4SoG8Eo1Md8mx9dZTP37tvPz3d2v6k2fiBUOJPjiN8sPzbo8UyH/74Q5+eVZeoKJOmbOP3eRBrpiA3cC2tTz+nl9+9qnXsRVObyOVD2PKfQV6Tfun3lG6h3ItTOYjNT/rOFQVcWuivW4tQghW9++AZbiuvaNQOoNJZ4OG1SGZC1ccW630bKlZHL8Rvg+JCJin4mrXocLWgFEURGzEMg0Vx6+H7gJgMNulvhSW4eC2jCORC6EkyPFDt1nftiji/UD9jq0Cn8H9ne9DrzFhYfLVthxPPzDuvAgNq8NGpL444pQyGbHBAvlkeYT0aY4tjtVULMuUwWHSfQUMw2IzfFzYUl7UllQQtuqZihjNyMXxajoHaxXId7tj692VRVz05mAxzGDYPtuVY1Abm9ENBgwM5RiYvwcK5J+FktiKx3FrNAWrwYUhW+eGuVC6g93oBYGEq8Ncm4Ut+fq4MFqfY4v2Gg0OFbdMrrZjy248eD673WZhK5r1I57bw4TrIgxac1v3RekuDMPAbvIiVYhg2GoA0FoUMVC+n4/aW3dsrewvggGLOSqudh0qbA0Ya5E0RIngQp39WplCHPupTQzbZ2DW1z8lR21kayepvDB6zPq2lccvBxOYcpqruoIOc3frHfBiEQuTrw70iqWG02HSfRnpQqzy/+g0mo0iJvNlx9YJ5fGiJCCR24fTNAKWqa/4lnJ20GtNGHWcQzTrR+rIqrLDqMOs24K7u7G6e+CqkS3J56D5VGFLdi6pMRFRwaizwGpwIZTeBiHHS8yVjq1MFxxbBZ6HWy/3m/3yhc90fP/tgmM1sBhcAJHdUbvJ7kcR33i0i5fHUtCwIuZ9t+jq8ACguGXOeyXE8yWkC+r/jRNCcNcfw7zHCluV4SyH4cUSNiMPYNbbMTxgvaKDiM2oRBFrT0Y8/HzWbmFrtSyuzg+93Nb9UHoDu9ELURLgtcgLeIEWFpsUx1arUcR4dg/RzC7GnOdh0tVvGqG0BypsDRjKRMR6+7XWw/cAAHPe7qrQSoG8Ekd0mfTIlcSWJ2IcJZTOYy+dr6s4Pp7dx/O9n8Fm9OLi8AdVPY5+RImCbVQp8D7MpKPs2GowipjIy46tk8rjE7l9SESkxfEDzLTnKoDqccRoroidFuNkmaIAo5aDhqt++4xk5OJ4h2mopX0dxWudREnInxgH6WbH1hsPf4QJex7J4gQ8KsYvewH5QToHs1boiSji64938YtTsqt4fuhWl4+G0gkUB/KkXf7bbvS+WQ/b8Szi+VLdMcStyDJ4sYh5362+HxJBqY1OY4BJZ6tL2Dr8fHarjcXxgsRjPXQPRp0VY85zbdsPpXdQnINWrbzI1MwAKoVgOcbYahSROld7C3o3GjCUiYjn64giEkKwFroLltFgqvzC2C28Sr+MMhmxTQXyy8EEAOBaHf1adza/AwKCl2c+DZalDqFR53noOAM2wg9OdJQcxqDlMGIzNjzhqdKxdUIUUSmOd1Fha2CZdF8Gy3AniqsHBfLHy+UbIV3kK+6okxAlAfFsEE7ziGrF8Qo+W/U4ouIgy3Y4iigREaHEjyBIwM2pj3d0351AERXG7HzXo4iJgoC18C7m3XmMOs511UVN6RzKy5zbJL/EbbdBYFWK42/WKWythpQJYFRcHRTsRi+yxQQE8fR+W0c5ijjrtlSmmLeD7ehjlMQC5nw3qUt/QFDuxxwju6iDrXRslYvnW4kiipKAtdBd6DVmjLsuNr0dinpQYWvAaMSxFcsGkMyHMOG6BJ3G0O5DOxWz3g6TzoZIegeEEHjKN0u144jL5YmItRxbu/Fn8MefY8Q+j3EnvZgBcmxnyvMScqUkQqmTe4AOM+20YDuehSidLoIdRnFsnRQTjWXLExHNZ8sxQqkfvUaOI8azQSRzL64s3xiTV46VguRmyRQFWHTVi+MV56CnDZM5KwL/CX9fWo6FXsMiU+psFPFp8H2YtFnc2/PiF+fO3qq5Iipc8pKuO7b+K5DBhyYVtxZdHR4ULAYnWIaDWSM7tdrh2GqkOD5diGIvuY5h+yyshvZGzSi9g60yle70AnmnUX4+b6dbCziIIZ7z0WvhoKCcg5liFF6LvqWpiGqUx+/GnqIoZDHnu676QialOaiwNWA8CyWhYRnMuq01PyuXxgNzvuvtPqy68FonkOfTyBaTlVUgtR1bDxTH1inClkRE3Nn4DhgweHn212nHySGmK3HE2tMRp1xmCBJp6MaUOqU8PprxgwELh1nd+Belv1AmdG4ecW0pI+yX/K05tjIloTKB8CSUfi01i+MVnOZhaFgdQumTJyNadNqOlscLIo87m++gJDKwGD9wJq+FirA14xQRTOchiPUL8WrzI38Kr0wkwLEGTLovd+04KJ2FZbjyIIMkAIKdNhTIK9dF5Tp5Gqv7ZbeWj7q1BgnFLVMrjnht1IH/85cv4//6lZfadiwlKYdAYhU+6xQdFjRA2AweAAySuRBGbaaWo4hajq0kgJpBca6eox1vPQMVtgYIQgiehVKYc1uhPaUfBgAkImE9fB96jQljzgsdOsLT8ZTdCpHMduVCFFE9ihiHQcNh3lNd+Hu+9z4SuRDODb0Ml3lE1f33OyOOOeg1ZmxGliER8dTPVgrkG1h9rkQRjzi2JCIhng3CYfJBw1YXHShnnwmXHEc82rPlsxoxZjfh7m7zkxEJITWjiJHKRET1iuMVWIaDx/rihNjDWPSajnZsPQ3+BJKUwffXXPjNa2fTuaq8NA1ZihAlgr108w/SrVDgRSTFPTiMAuZ91+l1bsCwGb2QSAk2vdBwhL8e7vnjGLUZ4bOeHsshhGA1tAgtp+96RQWlsygif6qGsMWxLP7v37iFG+P1xVqbISFuAiA0CjtgaDgtLHonUvkIRmxGpIt808M0Aqk8RmxGsGxzC3K5Uhq7sWdwW8bgNA83tQ2K+lBha4CIZIuI50s4X0cMcS+xhjyfxrTnas/YK72HCuTdbYgiCqKER3sJXBm2Vy2GLgp53N36d2g4Ha6fwT6ZVmEZDtOeqyjwGewl10/97JRTLpDfjNX/kF4pjz8ytSmVj0CQeNqvRYFOY8CY8zziuT0kjowmvzHmQiCVx36T4kRRkCBK5PSJiGk/WEYDp8rF8Qo+6xQAcmLPllWvbcvEtJMoCQU82H0XeZ7Fg/1J/MKkpyP77TR6jRk6jRF2gxxD3O1Sz9Z/ru3h5XE5LkZLagcPRVQYs5VUd2yFMwX4k7m6YogZKYRsMYlpzzVoudrTEylnB+UcPBrz7zSESIiLm+BYbSUlQBkc7CYP8nwaE3Z5cSfYxPOcJBEEU3mMtjARcT20BAKJ3o97DCpsDRDPysXxF332mp9dC8sxxFlfd6chHsZtGQMD5gVhK6aiY2slkkZRkHBttLoVf3nnXRSFLK6NfwwmXe045yCiRME2wqdPR1QcW430hRw4tl50K8TKxfHtiH9R+g/lYfdoHFEpkFeKkhslU5TPP0uVKKIoCYjn9uAyj7RtoITXpgzSOC5sddKx9cj/HkpCHm8+9+DTl+fOZAwRABiGgd3ohY7NgGO617P13cdruD6Shk7jode5AUQRFS76oLpjS7ke3qhD2IqLGwCouDqImPV2cKwWyXyo9ofbyH5qEyWSxbTnatf7fymdR7kWTjrk57FAE4tN0VwRvChhpMl+LUIIVvbvgGU0mPEuNLUNSnvouLD19a9/HZ///Ofx2c9+Fm+//TaCwSC+/OUv40tf+hJ+//d/H6WS7Mj49re/jc9+9rP43Oc+h29961sAAJ7n8dWvfhVf/OIX8du//dvY2ZEn5D19+hRf+MIX8IUvfAF/+Id/2OlfqW94GpKnSNSaiCiIJWxFH8Kid5bdAb2BltPDYRpCNOOHyyg7JtSMIt4PyA931fq10oUoHgf+C2a9A5fHflG1/Z41hmzTMOls2Io+hChVf8muRBFj9QtbFcfWkShiNFvuNTJTxxYFmHRdBstoTujZKgtbTcYRFdHIWiWKGM/uQSJiW4UHpUD+pAENZp0GvCihJJweA26VfCmNR/4foSTq8c6aG7+10Dv3iXZgN3rBMAQec6krkxEJIQgmlqFhCa6Onc0uM8rpKJHYGaeAQCoPXsWut3tlYauWY6so5JAS/bAZvZXrEGVwYBgWdqMHqXyk5uTrdrJSLo2nHW+Did3oAwB4zHIdQzM9W4HyNMVmHVvh9A6S+TCm3Feg1zRfPk9Rn44KWz/96U+xsrKCf/mXf8E3vvEN/PEf/zH+4i/+Al/60pfwzW9+E1NTU3jttdeQy+Xwl3/5l/i7v/s7/MM//AP+/u//HolEAm+88QZsNhv+6Z/+CV/5ylfwp3/6pwCAP/qjP8LXvvY1/PM//zMymQx+8IMfdPLX6hue1zkRcTv2BIJYwqzvRs89QHutkxAlHgZO/l3UjCIul4vjr1ZxbN3Z+C4kIuLW9K/RfpNTYBgW055rKAl5BBKrVT836ZCjiFsNRBGV8nib/mTHlosKWxQAWo0e464LSORCiGf3K19XhK2lJh1b6RqOLaU4vh0TERUMWjNsBg/C6e1jLxfKcbXbtfVg510IUgnffuqFz2I5szFEBUVUGLEWu+LYWtqN4upQCBJhcG74Zsf3T+k+yjSwIUsREiGqCqwHjq3Ti+M3wg/K0ZtbPfdsSOkMdqMPgsQjW0x1Zf+8UMRWZBk6xoxh+0xXjoHSXZT7sU0nvzsEm7gWKkOrRu3NCVvKRE7a8dZ7dFTYevnll/Hnf/7nAACbzYZ8Po+f/exnePXVVwEAH/vYx/CTn/wE9+/fx9WrV2G1WmEwGHDz5k0sLS3hJz/5CT7+cbnX6JVXXsHS0hJKpRL8fj+uXbv2wjYox1GiiBdqOLaUaYiz3t6YhngYT7lnS5Tkl1U1HVsPAnJ/ydVhx7Hv7Sc3sBV9CK91EjM0018TxZq7Ea4+HdGg5TBiMzZcHm/WaV7oQCOEIJrxw2bwQKtpfroJ5WxxUhxx3GGCx6xv3rFVnjhoqdKxdVAc396omNc2CV4sIHGk60QptW/nZMR0IYZnez8Dy9rw9ooVn12YbLp8tV9Qog8jliJ2k+oXd9firSfLmLAXUSp5YdBaOr5/SvfRa4wwaq2w6+WXODXjiPf8cTiMuoqLuhryyxyDOR8VVwcVm1FexOhWHHEj8gCCxMPBTYNhaJvOIKKI/Do2DQDwpxoXtoJll9ewtXG3lSCWsBG5D5POjhHHfMM/T2kvHb0qcBwHk0k+iV577TX80i/9EvL5PHQ6OVbkdrsRDocRiUTgch1Yol0u17GvsywLhmEQiURgsx0INco2KMd5FkrCbdLDY6meSS/wGfjjz+G2jMFh8nXw6OpDKZBP5QPQa1hVO7aWg/JUoKP/PoRI+PnGGwCAl2c+Q1cq68BjGYdF78J27BEEsXqZ9ZTTjO14FqJUn609kS8diyFminGUxAItjqe8wITrIjhWjiMSQgDIfUk3xlzYiGUQb8LtqXRsWQ3VHVscq4GjTcXxCkpEPJzeeuHrFl3ZsVVsX4H8ve13IBERj8JzEAmL37p2tmOIwEH0YcRagr8Ljq1wShZnp4xzHd83pXewm7zQsFloWQnbKglbmSKPlUgKN8acpz7bxLN7iGR2YWWHYdLVHkBEOZvYy+8FtSYjtovVkCyuOrnpruyf0n2MWgu0nAGiJKdsFPdVIwSVKGITjq2t6CPwYhHzQ7fAUnG15+jKuLt33nkHr732Gv7mb/4Gn/jEJypfV14+jtLI16t99iQePnxY92fVYHFxsaP7OwwvEqxH07jiNp56HBFhFQQSdEVPV4+3GoQQsNBgN/wcNu0sAvGUKseZKonYSeTwoRHzse3FhU1EeT/s3AR2VsLYQf8Kp538f2oUfciIMby3+Cbs3PiJn7GhBEEieOtHP8eQuXa8M5rJw2XQvPB7JEXZJVNIkJ48Zyndw4whJPN+/PjOuzCw8tCMUY0cZ/1f//kz3B4yN7S9+0+eAQDi+0EsLpZe+J5ERMQKQRgZJ+7evafC0VcnL8kuxycbS0j7D0rqs4koAODO/YfI+5uf9lONgpTEWnEJesaO/+cnPHxGDbTRbSzGdlTfVy8hRz4ZjNtK+O6zREevM8FsAfOuEHIlLby2UXqNG2BKJYABMGQp4SePnuMyE295m/fDORACjGj4U8+tIC+7r52aaXoODjD5spiwsvUYuWBni9uLUhqh4hYs7BB0rImehwOMRjIhW4xAw3rxPBBq+Fy4vxYEACR2N7CYCTb0s+vF/wQAFEJ6LEboOXiUbv9ddlzY+uEPf4i/+qu/wje+8Q1YrVaYTCYUCgUYDAbs7+/D5/PB5/MhEolUfiYUCuH69evw+XwIh8O4ePEieJ4HIQRerxeJRKLyWWUb9fDSSy9Br+9MdGlxcRG3bnUvi/t0PwmRPMHNmdFTj+ON+z8FwzP4yI3P9OzUv8jyEvaSG5h0G7ASKary7/re2j6AZ/jFi9O4devAZs+LJfx/i2+BYzX4+I3/CYvheEyxX+j0ORjLjODb956CtWVw6+LJ+72xx+DtrUewjs/g1uzpLhdCCDL//ARXRmwv/B5LWxFs7wDXLnwAo85zqv4OlP7GFdbiB8++CaOPx80p+Zz5Nc0W/v7xe8iaPLh163Ld21pcXIRvfBLALi7Oz+DWrRfPtXB6B4/uE0wNX8Ctufb+nUlEwtZP34Oky77wtzAXuQ88iWJ8dg63zo2ovt/vP/5/gSJgsHwEKX4D/8cH5/Hy7cGYjra9+B6GhDjCeR7Xb9wAx3Zmpfavf/Q9mHUieFwCw7BdfY6gdBeDP4/YxjqGrUWIJrsq58JPf/QUwCY+efMSbt2aPfEzkiRi5f03odeYYWVPf4aknG14sYTVn/w79Bbg1tXOngeLm98DdoGb5z6G+LZIz8MBJvd8DWuhGC56WaQFruFzgb//LoA4fvVDt+Ey1a8DpAsxLN/5FoZsM3jl2kcbPOqzz9H3zGKx2HETUUc9dOl0Gl//+tfx13/913A4ZIHglVdewVtvvQUAePvtt/GRj3wECwsLWF5eRiqVQjabxdLSEm7fvo0Pf/jD+N73vgcAePfdd/ELv/AL0Gq1mJ2dxZ07d17YBuVFntVRHJ/KRxBJ72DEca5nRS1AmQpGcN5dRKrAqzIdaDlY7tcaeVG4euR/D7lSClfGPtLXolY3cJpHYDd6sRN7Cl44OfY1Ve70qKcvJFcSIEoENkOV4ngaRaQcYdx1ERpWi83wcsXNqxQkL+1GG95etqhMRTzuLlSK49vdrwUALMPCY51AMh9GkT+IxikRyXQbOrZCqW3sxB7DZ5vC60/kyNLnzvg0xMPYjV4YNAKMGgGhTKFj+42llwEAH5mnk3gHncoQA0uxoaErp7G0qxTHV5+IuBN/igKfxazvOo3eDDhaTgez3oFkh6OIEhGxGlqEjjNg0nWlo/um9B5K7+UFL0EgmW8orQXIHVt6DQvnkWqTWqzuy26kc0ODsaDXj3T0DvXmm28iHo/jD/7gD/DlL38ZX/7yl/GVr3wF//qv/4ovfelLSCQS+M3f/E0YDAZ89atfxe/+7u/id37nd/B7v/d7sFqt+PSnPw1JkvDFL34R//iP/4ivfvWrAICvfe1r+LM/+zN84QtfwOTkJF555ZVO/lp9wbNQEgBwwWev+pm1cmn8nO9GR46pWZQC+Qm7/GAXU2Ey4oOysHXt0ETEbDGJh7s/gFFrxdWxX255H4MGwzCY8S5AlHjsxJ6c+JlpZ1nYitUukE8W5N4gu+HFG1E0E4BZb4dB21isjHL20XI6jLsuIVWIIJaV7eazLitsBm1lElgjnDYVMVoujvdYTo7dqo3POglAdoopmHVKeby6HVuEECxtyYtK18Y/gX97uIsxuwkfnPKqup9eRhEVhjs4GXEvFcaQJYq9jBUXh6c7sk9K76K8zE05BOwk1BG27vljMGi4U4cKKRPAzvmoQ4Yin4e5UqrqgmU7CMRXkC+lMeO9Dg1Hp5IPOsq1cNLBoyCISORLNX7iRQKpPEZtpoY6kwmRsBpahIbTYcpztaH9UTpHR6OIn//85/H5z3/+2Nf/9m//9tjXPvWpT+FTn/rUC1/jOA5/8id/cuyz8/Pz+OY3v6negZ5Bak1EJIRgPXwPGlaLSXf98ZxuoBTI+8xpAG5EskUMWVvrk1kOJKDlWFw8JPwtbb0FQeLxgdn/RqftNcm05xrubb+Djch9zPqOT9mcdsli1GYdq8/KjetweXyulEKeT2PCdUmlI6acNaZnxRKJAAAgAElEQVQ9V7EZeYDNyAO4LaNgWblA/r31fWSLPMwniFTVOG0qYiTjB8dqKwJIu/EeKpAfd12Qj6v8u2RK6jq2AokV7CXXMe68gOV9AxL5Ev7327NnfhriYSqTEa1F7CZzeLkD+/z+0x+CZQCt9mIH9kbpdcx6BzhWgzE7j614FoSQlobZlAQRj/aTuDHmfGHS8GFypTR2Y8/gNo/BZRnFBhrro6GcPexGLwKJFSTzYXisnVnIWaFOGcohlOcsn7kIQItAKg9nnZFCUZKwl87jg5OehvYZTK4jW0zg3NBtaLnGnF6UzkE9xQPC83AKHMtg1n3yOOdIZgfpQhST7ivQcr0t4ph0Npj1dlh1cQAE0RYnI4qShOW9OC4P2aEtP9xFMrtYCy3BaR7B/BBdpWwWh8kHp3kE/vhzFIXjLodJpyxsbcUbcWwdCBFKDLET8S9KfzLuvAANq8Nm5HAc0QVCgPuBxsqXM6XyVMQjYpgg8khk9+Eyj4BluJN+VHW8NlngD6W2K19TBLesilFEQiQsbcp1ATemPonX7suTGH9rgGKIwIGwNWzpzGREQgiS2YcoCgw+eo660ClyBNlm8MBlzCPPC4i0+OzzaC8JXpRw/ZQY4nroLggkzFNBgVJGERU6FUcs8FnsxB7DYRqiz3oUAIDV4AYDFna9fC8OJOu/J4czRYgSwYjd1NA+FecqvRb2NlTYGhCehpKYc1uh05z80qXEEGd7PIao4LFMQsMW4TbxiLYYRVyPZpAribg6IscQCSF4f/0NAMAHZn6ddkq0yIxnARIRsR15dOx7Rq0Gw1Zj046taLbcr2Wm/VqUk9FwOky4LiFdiCKalXuwlBe5RuOI6ULZsaV/0bEVzwVBIHUshggAeo0JdqMP4cw2JCK9cFxqRhG3og8Rzfox412AzTiMf3u4gzG7CR8aoBgicEjYKju22k0wsQ6TNoenERduTQy3fX+U/sBu8kLDinAaBGzX0U15Gsr1r5qwRQjByv4dsAyHWe9CS/uinB2Ua2GnhK318D1IRMS5odstORQpZweO1cBqcEHHpQHI0cJ6CaTk+/eorf6kT1HIYyv6EDajBz7rYC3q9Rv0jX0AiGQKiOVKOF8lhihJIjbCD2DQWjDqmO/w0TWHEkecdeZbXrWs9GuVi+O3o4+wn9rEhOsSRvrk36OXmfFeAwBsRB6c+P1plxnbiSxE6fQhAMmCLGzZjIcdW50r7Kb0L9Plc3AzLBdx3xyXX+SU4uR6URxbR4WtSLo756HPNglBLCGR2y8fl7pRREkSsbT5NhiGxY3Jj+P7K0HE8yX8j2uTAxVDBAC91gQtZ8KwpYRdlfqNTuPH6/8FADDoLtGXOUqFwwJrPUNXTuOe//Ti+EhmB8l8CJPuK9BrG3M3UM4udqM8eT6Z64ywtbJ/BwzDYtbbHwvvlM5gN3nBoACLTkAwVf9ikyKCjdrqv6ZthO9DlATM+6i42utQYWsAqDUR0Z9YQVHIYsZzrWMxmlapCFuuPGItClvLgQQA4OqoE6Ik4M7mm2AYFrdnPt3ycVIAq8EFj3UCwcQa8qXjkcMppwW8KCFYY8UlkT9eHh/NBKHXmGHSVS++pVDGnOeh4XTYjDwAIQQXvDYYtVzlxa5eMlWmIirF8e4OOrYAZUIsEC7HES2V8nh1hK3V0CJShQjOD70Mm9FzEEO8Npgrlg6TD15zCYFU7eh0K/BCEcncM4SzWnz0HH2ZoxygiAoj1mLLBfL3/DFwLHNsGrTCilIaT6M3lEMYdVZoOB2S+VDb9xXN+BHPBjHhvAij7uQqFcpgYjtUDxBINuDYKjuuR+z1O7ZW9xfBgMG872ZjB0npOFTYGgCU4vhqjq31PpmGeBjZGcFgxplrOYp44Nhy4kngx0gXYrg48qHKyiildWY8CyCQsBV9eOx79RbIpwovRhGLQg6ZYgxuyyhdQaGciobVYtJ1GZliHNHMLjQci4VRJx7uJVAUxLq3o0T8TNoXHVvRjB+aDhbHKygF8qG0LDhZK46t1qOIgsjj3vY74FgtFiZeBS9K+LeHOxi1GfHK9GBeG50mH1gGyBUbn6jZCBuRB+AYEe/7XfjYORpDpBxQmc5pKdXVTVkNSSK4H4zjks8Oo/b4MAxBLGEjfB8mnZ061ykvwDAM7EYfUvloJQbfLqi4SqnGYfdqI1HEYMWxVZ+wFc/uI5LZwZjzPEx6uoje61BhawB4FkoCwAsT/xRKQgHbsUewGT0ddxu0gobTwaz3YcpRQDRb/wXtJJaDcXgtetgNAu7vfB86jRHXJ15V6UgpgDyZDmCwEb5/7HtTLnkVbrPGQ/rR8vhYRp7O5LLQfi1KbaY9SiRWjiPeGHNBkAgeBhN1byNTEmDWaV6I4SlRQJdltON9fA6TF1rOcODYKkck04XWha2nwZ8gV0rh0ugrMOlt+I+VPcRygxlDVFBEBRZJSBJp234e7P4MEgEM+kvQV+nFpAwmNqM8yWvYWsR2vPmut9VoGpmiULVfayv6CLxYxPzQTdozSjmG3eiFRARki40NYGkEURKwEb4Pg9aCsfLkXwpFQbkfj9lKDUYRlY6t+qKIqyFaGt9P0LvVAHBaFHE7+giiJGDOe6PvXC9e6wR0HIEgRJreRrrAYz2awbURJ+7vfB+8WMT1yV+lfRIqY9bbMWSbxn5qE9li8oXvTTtlYWsrdrqwdbQ8Pqr0a5lpvxalNmPO89By+kocUXmhW2ogjpgpCsdiiLFsEASkKwsDDMPCa51EqhBBgc/CrExFbLFjqyQUsLz7n9BxBlwd/ygADOw0xMMo0QePqYBIttCWfSTzYWQKu3gSNuPjF863ZR+U/kXL6WHS2TFqLWG7BcfW0m4UAHBjzHni9ysTwHx0KjTlOPaywNrOnq2d2GMUhRzmfTf7piaF0jkUx9aUQ2isPL4cWxytI4ooSSLWQneh15gw4brU3IFSOgoVtgaA56EUnEYdPGb9se+th+8BAGZ91zt9WC0z6pBfsPRctOltPNyT3Rovj3N4Fvw5bEYPLg5/UJXjo7zIjHcBAMHmkRL5KWd9UcRkWdiqOLbKExHd1LFFqQOO1WDSfQXZYgLh9E6lQP5uAwXy6SJ/rDhe6dfydGmAgc9W7tlKb0On4aDj2JY7th7630NRyOGl8Y9CrzGBFyX868NtjNiM+PC0T43D7kuUB+mRNk5GXN1fBAD8eNuJT1+ioj3lOHaTF04jj2Aq1fQ27vllp81Jjq10IYZgcg1DtpmKQ4xCOYzdVC6Qb+NkRCWGSJ0ylJMwaM3Qa0wYthQRTOXrdlHvpfMw6bhji5QnsRt/igKfwaz3Ojj2eGSb0ntQYeuMw4sS1qJpXPTZjzmycsUUgolV+KxTsBrcXTrC5lFe6Gz65q3QSr/WOdcTEEh4efrTYFm6MtQOptwvgQF7bDriVLljq1ZfSKIcrzpwbAWg5fSwGk6OUlAoR1HiiJuRB7gy7ICWYxsqkM8UhUpBu0KkMpmzO1HuYwXyek1LHVv5UhqP/T+CUWvFpdEPA8BBDPHq4MYQAcBicIIQFkOWEnYT6gtbEpHwfG8ROZ6FUTcL9wmLURSKIrBqmDRyTboz75aveycJW4q4Oj9E3VqUk1HOwXYJW9liEoH4CjzWCThMg7uYQjkdu8kLq74ASRLqdlEHknmM2kx1pZRWytdC2vHWP1Bh64yzHk1DkAjOnxBD3IjcBwHBbB+Vxh/GbvSiKHAYMqeb3saDQBxXfBlA2sGIfR7j1GraNow6C0Ycc4ikd5AuHIgJRq0GQ1ZD7fL4fAkcy8Cs04AXS0jlw3CZR8DQ/g9KnYw65qHlDNiMLEPHMXhp2IH7gTgEsXYBLiEEmRIPq+HoREQ/NKyua84GWdhiKgXyFr22JcfWg513IUglLEz+CrScLCLTGKIMy7BgWTtGrEX4W5xIdxKB+AqKQho/27Hj05enVd8+5Wxw2Dm4HW/8PCSE4J4/hhmXpbJQdPA9CauhRWhYXbkbk0I5jtXoBsC0LYq4FloCAaGCAuVU7EYvWIbAZ+HriiMKooT9TL6u4vh8KY3d2FO4zKO0y7ePoG+EZxxlIuKFEyYiroXugmHYvn14YRj2/2/vzqMkq8u7gX/vrX3vquqq3rfZmX2GnWERB5AoqGCSIwiJryQnKALRkGhwoh41AYxwjnqOoJ6DGoxoQnhfICGiKCgIIzD7DMxM9/R09/Raa9e+3/v+cauqu6eX6ZnprvX7+W+qbnX/+s6tqnuf+yzwJ6xwmVKIp8/tIuPwqB8f3zQOQMDFPR+suj5j1UYpRwROemdmbXXbzRiajC2YShxKZmDVaSAIAoL5vkaOMpV/UXVSiWp0OTcgng7BGzmFrW12JLM5HPWEzvjaZE6GLKPYxwoAMrk0QnEPnGVoHF+gVevRYHTDFzkFSc7BrFWfc2Arkgzg2PgfYdE7sLrpYgAoliE2WwzY0VOf0xCnM+oaYdBIGIss/WTEQpPaPww14OYN1TPMhUqrOBnRksbQOQRYR0Jx+GKpObO1xkP9iKUm0ePaDI2KGYM0N7WogUVvX5aMLVmW0TvxDlSiBj2NW5b851PtKE5GNC9uMuJENAlZBloW0Tj+hGcfZEhYzczVqsLAVo07nm8cf3rGVjA2gUBsFO32tdBrTOVY2pKIppXGp4P+gbN+rSzLMGn60WpNYXXTRYzIl0CncwNEQYWTvpnTEbscJmRyEsYi838xTSbSxbvLxf5aJv6f0dkpTkf0HsD2NqUEezEN5OMZJavLPK0vQyA2WrbG8dO5LV3IShkEY+PnVYq4f+hlSHIO2zpvKPaTeKVPKUP82OZOqESeMjjNSlnMZNyzpD83mYlhyP8uRsM66LXNWD3HzSgiALAZlGOw2ZzC4DlkbBXKEOdqHF/sa+RmpgwtzGZwIZmJIpVd2rJsT3gAkaQfXc6N0Kr1S/qzqbYUA1uWFEYX0feysM2ZGsfLsow+zzsQBRV6XNXXg7qe8Sy1xhUyEda5bTMe7/fuAwCscFVnGWJBFsqH2ujkwFm/9oTPjxtXjyErqbCt64YlXhnNRac2oM2+BsHY2IwLw8JkxIEFJiOGkpli4/jiRERmbNFZam1YBa3agAH/IWzNX9gtps9WIpsPbE3L2PJHlMbx5T4OXdMayFt0GqSyEjKLKK+cLhgbxwnPPtiNzehxbS4+zjLEmdpsLQCATGZpM7ZOevdDknN4bbABN6/vWNKfTbXFqLVCEDRosaRw6hwCW/M1jk9nkxj0H4ZV3wi3le93Wlixz1b83CeTz6UQXGWmDJ1JYYhBizmNsUVkbBWyulrPkLHliw5jMu5Bp3N9VSd/1CMGtmrccU8YKlHASqe5+JgsS+j37odGpav68aUadRMAIBAbPuvXvjPwG1h1OSSkjTBqLUu9NJpHIbX8pHcqa6vLsXBgKydJiKQyUxlb0TGIgrp4YkW0WKKoQpdzAxLpCFotIYiCsKjJiPF8YGt6j61CgLWxAjK2AMATHiyWSkZTZ5e1tXfwVwBkbO++sdi3LpOT8P8OnWIZ4jROs/KdIwrnPpFuLr0TeyDLAnafYhkiLUwQBJh0TjSZ02ccujKXQsZWYTJswUnvAeSkLFY1Xci2DHRGVmOhgfzSZa9mcikM+A7BrLOj2bZiyX4u1Saz3g4BopKxFV5ExlZ+m5Yz9Njq40TOqsXAVo075g2jx2GGVj016c8THkQsNYku50aoVWced1rJGgw2eGMaxFNjkOXFjXoFgEjSj0TyAPxxDXpcly/jCul0Hc4LoBI1GPAdLP6fdRcnI8599zmcn4ho1WuQk7IIxsfhMDVzgiWdk0I54njoXax1W7FvJHjGUdHFUsRpGVu+6Ag0Kh2shvJOlbUaGqFTG+GNDBVLJc+mz5YnPIhTgXfhtnah3b62+PirfePwx1O4lWWIRdZ8MN2kiZ7Vd85C/NFRBGKjeM9rg05jwqVd5RlEQNXDaWqCViXDHz37bJn9IwE0WfSz+sz0et6BAAEr3duXaplUwwo3FsOJpcvYGvAdQlZK54Or/M6hhYmCCma9U+mxtYhSxLFQPmPLNn/GVjaXQb/3AIxaK1obVi/ZWqk0+KlRw/yxFHyxFNac1qvjRL4McWWVTkOczmnS4WTQAFlOzpi0dybvnPwlBEHCM4ebsKWVmQilpGQKrkMo4UUwNgbgzKWIoXxgy2bQYjLugSTn2BONzlmLbSV0aiMGfYexrc2OSCqDE/6Fp6sWSxF1SmArk0shlPDCYWot+wm4IAhwWToQSQbQYMgBAKLpxQW2ZFnGnoFfAgAu7PqTGZkazxxkGeLptGo9Elkd3KYUAvH0kvzMwt3h3/Rb8KEL2hlEpDOym5TzlnT27Epi/TGlL9fpZYiT8Qn4IqfQal8Dk842z6uJphR6vYWWsN9g4bOQwVVaLLvRDZNWwmT8zEOAChlbC01FHPIfQSaXxEr39rINBaJzx/+xGnZsjv5aOSmLAe9BGLVWNNVAmq/TpEN/QPmA8kVOLeo1E6GTGPQfwkjYjN5AI9obzjwdg5ZWsRzRp0xH7MpnbM0X2JpMKBeQDQYtAoX+Wib216Jzo5QjbkQiE8El7UrQdN8Z+mwVSxHzGVGB6CgAGY0V0ufNZVH6bLkMyuf+YksRRyd7MRE+iXb7WjTZuouPZ/NliE0WPa5kGeIMWcmKRlMGQ8HJ8/5ZOSmLfu9+ZCUdDo1bWIZIi1IIKqiFMHLS4vvp7S82jp8Z2Oqd2AOAfY1o8fQaE7Qq/ZJNRgwnfJgID6DFtgoW/eyJnURzKUyJzUln/j4u9NhaqBRxqscbyxCrEQNbNezYHBMRhwNHkc4l0ePaWhORaKdRh/6gEpjyRobOuL0sS3jr5P8AAP5tnxubWx3sJVEGbfa10Kh0OOk9AFmWYdCo0WTRz1uKWMzY0mvgz09EZMYWnY/ufIP0VvM4AJyxz1ahFNGkVQJbvkKA1VIZgQhXvtmzTac0hl5MxpYsS9g78BIAYHvXB2Y89+qJCfhiKdy6iWWIp1OplKEDQ4HR8/5ZpwLvIZWNY/+4E2qVCtevaTnvn0m1r3Ax5zanFtU0uaAQ2JqesSVJOZzw7IVObUSHY/3SLpRqliAIsBndCCf9kKTcef+8vnxwdRWDq3QWCiWxOlUE2TMMzRkLJWDVa2ZMt54ukgxgLHQCbms3rAa2BKhGPFutYcc9SmBr7bRSxMI0xJU1Mr600aTD0KQekizAGz1zxla/dz/80WHYjOvQFzBgU0tDCVZJp1OrNOhwrEc0FYQv///WbTdjMBibs9fRzIytUQgQYTc2l3TNVFuabT3Qa0xIZ05AFGTsXWTGVqEU0R9VBlaUu3F8gcvcAQECjGo/gMVlbA34DsMfG8EK19ZZgWJOQ5yfWa+c8HoiE+f9swp3h59714Cdq1tgmueEm2g6q74Rsgw0m1Pz3hCay75ixpa9+Nhw8BiSmShWuLZCJarneynRLDaDC7IsIZI6vymxkiyhz7MHGpUeXc6NS7Q6qgeFIH+TOQVPNLngtqPh+IJliCc8ewHIzNaqYgxs1bCjxVJEJbCVysZxKnAUDcYm2E21cVfYadIhI4kIpywIREeRk+bPUsjk0tgz8EuoRDUCaSVbY1OLfd7taXn1uGZOR+xymJDJSRiLzL77HEoqgS2rToVAbAw2o6vqBx9QeYmCUo6YysZwzQoJ+4YDCzYDT5xWilhoHF8pJRMatQ4NpmaoRT9UgnzG5vGSlMO+wV9BEERs7bx+xnPZnIT/e2gITRY9rlrhXs5lVyWXRZmMGEmeXwlOLBXCaPA4cnIjRiN6liHSoqlVGsiCGc2WNIbOIrC1fzQIi06DFY6pSdCcAEbnqjBMIxQ/v8/C0clexNNh9Li28NyOzkrhGGw2p4qlhnNJZ3PwxVJotc7dfkaWJfRN7IFa1KK7cdOyrJWWHwNbNey4N4wGgxYusx4AMOg7DEnOYaV7W82U39kNWgDAeNQCSc4hkG9GPpcjI79HPB3GhtarcGhcSZve3MrAVrm0NqyCVm3AgO8QZFlC1wIN5MMJJfvEok0gK6XhrJC+RlTdCtMRr+6KwR9P4dTk/FN14hnlM8OsUyOdTSKc8MFpbit74/jp3JZOCMih3ZY8Yylin2cPwkkf1jRdMmuq4+/yZYi3sAxxTp125fMnmw2e18854dkHGTL2jCr7/6b1DGzR4uk0DjToszgVXNxxGE9nccwTxtY2O0RROQdMpKM4FTwKh6kFTpb301kqZMucb5+tPvZ4o3OkUxsgyXq0WBaejDgeUbK5WmxzZ2yNh04imgqiu3ETNCrdsqyVlh/PWGtUNifhhD+KtS5rMYh1wqOUIa6okTJEAFCrRNgNWpwMFhrIz91nK5YK4fDw76DXmLGp/X04NBqEIAAbmjj9p1xUohpdzo2Ip8OYCA8s2EB+Mp+xpVcrzSEdJp6A0/lrsvVArzGj3eqBKMgLNpCPZ5VsLrNOjUBMaRzvrJAyxIJCA/lVjviCpYjZXAb7h16GStRgS+f7Zz3PaYgLW+FsQiorQC0uPElzIbIso2/iHYiCGv++X8TFHc4FR5ATnc5uVLIpfdHFlcQeHAtCkuUZ/bX6vfsgyxJLb+icFPobhc8jsJXKxDHkP4IGoxuN5o6lWhrVEZXKDqcxg9HQ/N/JUxMR5/6eZdP42sDAVo06GYgik5OKjeOjyUlMhE+i2bYCJl1t9ZVymnR4z6tE173zTEbcO/gSslIG27tugFqlxcGxIFY5LexnUmZT5YgH0Z3P2JqrrCKUz9gSZB8A8M4yLQlRENHduAmikMK6xtiCDeSnlyL6843jK2UiYoE730B+pSO+YCni0bE3EU+Hsb51B4xa64znCmWIbrMeV7MMcU4GrQb+uB5mbQyyvPiJdNN5IoMIJ32A2I1oWmQZIp21VpvSUiKa8i9q+32nTUSUZRm9E+9AFFToqaEbnlQ6Fr0DAsTzKkXs9+6HJOewyn1RzVSTUGmZdE6IAuCLeebdZjQ0/0TEdDaJQf9hWPROuK3dy7VMKgEGtmrU6f21+r37AQArXNvKtqbl0mjS4bgX0Kr0cwa2fNFhnPDshd3UglVNF2E0nEAgnsYmliGWXbNtBfQaMwZ8h9BlV+6iDATnyNjKN4/P5pTAFjO2aKkUeilc3B7C3pH5LxBjhVJErRq+fOP4SiuJteidUIkGrHQk5s3YSmeTODT8KrQqPTa2Xz3r+d+dmIA3yjLEM4lmTNCqJERToXN6faGv0VvDShnizRuYqUBnp8mqDFCRpcWVIu4/LbDljw5jMj6BDsd66DWm5Vkk1TSVqIbF4DivUsTeiXcgQMRKd+1dn1BpNJqVz8JIwjfvNmP5jK25AlsnfQeQkzJY3cTgarXjWWuNKkxEXOOyQZZl9Hv3QhTU6GqsvWkjDqMOGQloMLUhkvQjmZnK+JFlGW/3/w8A4OKeD0EURBwcVU4CN7NxfNkVMmZS2Rj0qnEAwEBgjoytZBqAjHhqHBa9E1q1vsQrpVrltnbDoLXgorYIDozMf1KUKE5FVDK2NCo9LHrnvNuXgyAIsOjb0GjKIJWdHSAGgMMjv0cqG8fG9vdBp56dkj9Vhti5rGutdjlZKWMfC83f13E+mVwaJ30HYdI24On9SXQ7TJzQS2fNli9F1KujCw6+KNg/EoROLeKCfAuG3mJfI5be0LmzGVxIZeMzzr0XKxAdRSA2inbHWhi0ljO/gGgObQ1K9mo2N3+Qv9BYfq5SxL6JPRAgYKV7+/IskEqGga0adcyrBLbWuq0IxMYwGfegw7EOOvX8Y06rldOklCHqtcoHmy8yXHxuyH8EE+GT6HBcgNaGVQCAQ2P5wBYztipCT6NSjjgaPAy3WY/BOXpshZIZOA0ZZHJJliHSkhIFEd3OTTBqcrDp/JiYYyonAMSzEkRBgErIIJzwodHcVpF39hz5HiUqzL6DnkhH8O7IazBoLVjfesWs5wtliC6zDlevaFr2tVYzrVrJejkVHD3r1w76DiGbS0OlXoPJZBY3b+ioyGOJKptBY0Ymp0ajMVnMap5PJifh4GgQG5sboFGJyOYy6Pfuh1FrRat9dYlWTLXIZlACrOdSjtjrUYKrnMhJ56M5X5atEcLzblNoLN96WvP4ybgH3sgQWu2rYdKx73K1Y2CrRh3zhCEKAlY1WtDvzTeNr9E038Z8YAuC0sTSm28gn5OyeGfgfyEIIi7q+WBx+wPFjC3eIa8EbmsnjFobBv1HsMJpwGAwBkmaefc5lEhjlVM5cXeYKqv8i6pfYTriJe2heRvIxzPStMbxqLjG8QVN+f4QRvXs7LMDp36LrJTBlo6dUKu0s57/fb9Shnjrpi6oVTw9WIjV0AgA8C+ycfd0hSa1u4eV4NjNnIZI50AQBKQlC5rMaQwGFx5k8N5ECOmcVGwcPxQ4gkwuiZXu7RAraLIrVR9b/rMwlJi/v9FcclIW/Z590GvM6LCvW46lUZ0w6RqQlQSYtfNnDRYytk4vRSy0BVjlZnC1FvDbrEYd84bQ4zBDoxLQ790PrdqAdvvaci9rWTiNSmArmVPKgnxRpc/We6NvIJL0Y13L5cXJLYCSsWXRadCVb1ZO5SUIInpcm5HJJbG9NYF0TsL4aVkzoWSmGNhixhYtNbe1E4JgwraWMPYNz33XOZGVYNaqpxrHWyozwNpu70ROAqy6mSn5kWQAx8ffgkXvxJqmi+d87TMHlJsCLEM8M7dVyWiLpuYvX51LOOErDnL5r0MB2PQaXL2S2XF0blSiHWpRxknfwiWxpzeOLwRXVzVduLwLpJpXKIk92z5bpwLvIZWNY6VrK0RRtRxLozohCiIiKRMajUkkM3MPzhkLx2E3aGHQqIuPSVIOfZ690KoN6HBeUKrl0jJiYKsGBeMpeKMprHFbMR46gUQ6gu7GzVCJ6jO/uAo58hlbgYQIi94BX2QYyUwUB079Flq1AVs7dha3TWVzOOdAgwsAACAASURBVOoJY1NLA0SRpR+VolCOuMqhnBgNnFaOOJlIo6tBCXaxcTwtNUEQ0W7fCJNWwqlg75zbxLMSLDpNxTaOLzDpDBgO62HXh5GTpk7w9g/+GpKcw7bO6+e8iMhJLEM8Gx0NNvjjGki5ybN6XV++9EavW4+BQAw3rmuDhtlxdI7MeiVbZiIyvuB2hcbxW9sciCYnMTZ5Am5r94ybfkTnopC9eraliMVMGZYh0hJISxboNRKGAnNnDo6GErPKEEeCx5DMRLHCtRVqUVOKZdIy49lUDSr213JZ0e9RpiGurMFpiAWFUsRALIVGSwdS2TheO/4fyOSS2NqxEzrNVKPA9yZCyEkyNrFxfEVxmttg0Tth1Y5Cq5IwEJyZThxKptFsjsOotcKgZaYdLb2NbcpnpE4YnPP5QimiPzoCrdoAs85RyuWdleGQGWpRLpZNBmPjOOHdD7uxGT2uzXO+5vf9HniiSdyyqZNliIvQ3mDCeEQLtZhAJpta1GskWULfxF5oVDq8Mah8L928gWWIdO7c+cmIZwoq7B8JQBCUFgwnPHsAyFjtZrYWnT+9xgSd2nRWGVvxVBgjweNoNLfDbmpextVRvVCplPYyQ3P0vUxksggm0mg5rXF8occbB2jUDp691qCjE4XAlhGD/sMw6+xwW2u3tKRQiuiPp+DKN04eCR6H1dCIdS2Xz9j2YL5x/KZW9teqJIIgoMe1GQKy2NwUmdFAPpnJQadKw6RNV2yWDFU/t7UTsbQOqx0B+KIzA6s5SUIyJ8NuACJJP5wV2ji+YDxqBQB4wkqQbu/gSwBkbO++EcI8/XSeOZCfhri5qyRrrHbtNiPGosp3z2Iv6MYm+xBPh9Dj2oLnj4xDLQq4cR0zUOncdTuU78R0du7egAAgSTL2jwax1mWFUatC78QeqEVNsbcg0fmyGV2IJgMzsoQX0ufZCxkys7VoyRi1Suagd46+l2PFiYhTGVuJdBSnAu/BbmphJUgNYWCrBh33hgAAbVYfMrkUVri3znsxUwsKUxF9sRQaLVMBvIu6Pzir5ObQqFI2spkZWxWnUI54SXsIA8GpwFYomUanjWWItLwEQURK7oJRK+GPAwdmPBdP5wAA7TZlqk5jhTaOLwgklcC9NzIET3gQpwLvwW3tnrfPYqEMsdGkwzXs97QoRq0a4ZRy93exga1CX6MG00a8fcqPq1c0wZ6/MUN0LnqcrchJgHqBaWAnA1GEkxlsa3NgPHQS0VQA3Y2boVHz2KOlYTO4IENGJOk/47ayLKPP8w5Uoho9ri0lWB3VA4dZOXeJJGb3vRwN5QNbtqmMrX7vPsiyhNXuCyv6RiWdndqNdtSxQikicn0AgBU1XIYITJUi+mMpOM2t0GvMaLOvRYdjdiPAYsYWJyJWnAZjE6wGNzY3RzE8GSo+Hkpm0NmQBMDG8bS8Who2AACGA4dnPB5JZQAATSYlk6vSMwdzsgnhpBqe8BD2DPwSAHBh143znry91u/BRIRliGdP+R5ZTGArlYljyP8ubAYXXj+pTH1lGSKdL41ag1BKB6suPu820xvH97FpPC2DQq+2xfTZ8kaGEE740OncAJ3acMbtiRajzaaUtGbmyF4dDSufj4WMLVmW0TexB6Kgwgp3bV8j1xuewdag454wWqwCfNE+OE1taMhPLKlVhVLEQDwFlajGxy78e7z/gjvnvIg7NBZEj8MMq372qHsqL0EQsNK1BRqVDL1wqvi40jheCWw5TJUdUKDqdlHnOvhiGqgwhKyUKT4eTSvlFQ6DctOg0gNbZp0GfQED4ukQJsIn0W5fhyZb97zbF8sQt7AM8WxotUqfNf8cpQ+n6/cegCRnsbrpIrzwrjJZ8yYGtmgJxDNmmLRZhBOROZ8vNI7f3GLCgP8wLHonmqw9pVwi1TibMR/YWkSQv3fibQDsa0RLq73BhkBCDZUQmvVcoRSx0GPLHx1BMD6ODscF0GtMJV0nLS8GtmpMNieh1xfBjauTkGUJK9xby72kZadVq2DWqeGLKQ18NWrdnBMgJyIJTESSzNaqYN35xtbddg8kSclqCCWUUsScrINJZyvn8qjGrXRacXDCDrWYxWjwePHxaD5jy6INQac2wqyr7FJmk1aDvkAh5V7A9u4PzLttTpLwbL4M8X0sQzwrjSY7khkRgdjcU5im6/O8AwEiWho24Te9Y9jY3IAVTksJVkm1Ts5nDvZ5T835/N58YKvROIqclMGqJpbe0NIqZmydIbCVyaVx0ncQJl0DWmwrS7E0qhMtViPGIzro1UlkcukZzxV7bOWnIvZ5OJGzVjGwVWMGglFkchI2NfkhQKib+vVGkw7+2MKTqQ6OKmWIm1sr+6K0ntkMLoRSVlzgiuDUpHIyPpmIwm3OAIKDJ+O0rERRQCKn9Onrm5jqsxVNZWHSZKFTxSq+cTwAmHVqHPcpga0Vri1wmFrm3fb1k15MRJL46KYOliGepfYGE8ajWiTSAUiyNO92gdgY/NERtDvW4rWTUaSyEssQackYtE4AwPDk7GlggJKx1Wk3YTS4H4CAVZyGSEvMrLdDFFRnLEUc9B1CNpfGKveFNd37l0pPr1EhmFQCV+HTAqxTpYhGZKUM+j37YdBa0GZfXfJ10vLip0qNOeYJw2VKw6YLoqVhFYxaa7mXVBJOow7++MKBrUNjSuP4TWwcX9GSuW6oReDdsf0AgHB8HACgVtV2SS1Vhg5HJ7wxDU4F30M2p2RqRVJTfd4qvXE8AFh0GpwMGnFB2+24YtWtC27LaYjnrs1mxFhEByCHWCo473bFvkbuC/HCkWEA7K9FS8duUrJl5iqJHQvHMRFJ4souDbyRIbQ2rGbmMy05UVDBanAilPBAluV5t+tljzdaRumckgV9eubgWL55fLNFjyH/u0jnkljp3g5RUM36GVTdGNiqMcc8YVzWrgRwVtZRQzyHUYdEJod4ev5Rw4XG8czYqmw2ozK5zRN6FwCQzChlPkYdy6Ro+W1ra8TbIzbIcgYjwWMAlIytbrtyYlTp/bUAJWMLAFTqNqhV8/cTzEkS/uvgIJxGHa5d1Vyq5dWMdpsR41Glx+N8mQo5KYsTnv3QqU1oaViD/3lvGM0WAy7uaCzlUqmGtduVz6REenbT5H0jynnPxW3Kc6sZUKBlYjO4kMmlkMjM3estnPBjInwSzbYVsOgdJV4d1QVBKcv2RWYG+UfDcTSadNCqVcUbTavdLEOsRQxs1Zhj3klc1hmCKGjQ6dxQ7uWUzPTJiPM5NBqEQaPCSqe5VMuic9DpbEaf3wApN4pEOgJJUi4Y7SZORKTlt73dgbeHlUzXk76DAIBoOoPu4mTOys+0MWs1AKZ6g82HZYjnp73BhLGIEjicr7fMcOAoUtkYVrq34Z1Tk/BGU7hpQxtEsbLLWal69DgbEUmpAHly1nP7RwIQBRk23SC0agM6nOvLsEKqBzaDklU/X5C/z7MHAJvG0/Ix6pQbRp7I+IzHR8MJtFqNiCYnMTrZB7elqzjwgGoLz2RrTCAygmZzGh2O9dCodOVeTsk484Et3zyBrUxOwrsTIWxsboBK5GFfybrtJrw1bIMgyBjwHYZaCCKZEdFo5pcQLb+1Liu8cRMmk3oMB95DNpdGNJVFV0MCgqCvijKeQsZWdIEMVoDTEM/XjIyteQJbhdKb1U0XTStD7CjNAqkudDQYMR7VQq+OIyfNfM/vGwlgozsKWY5jhWsr1KKmTKukWmc1KEGFuT4LJVnCCc8eaFQ6dDk3lnppVCecJjtSWQHhhK/4WDSVQTiZQYvNgBOePQBklsLWMF7h1xi7fggAsLppe5lXUlpOYz5ja54+W8e9YaRzEvtrVYEuuwnvjFghy8rkEr0qjKGQHnZD/QRqqXzUKhFbWh14Y8iCrJTBcPAY4qkoXKYMtOqmim8cDwCmQmBrgYytnCTh2YNDcBi1LEM8Rxa9BsmsCbI8d5ZCPB3GSPAYnOZ22E3NeOHdYRg0Kuxczf1NS8egUWMyaYQoyIgkZ5Yj7h8J4P0rwwCYKUPLy2bMZ2zNEdgam+xDLBVCT+OWBcvjic5Hm82E8agO6WwQcn6gS3EiolWPPs8eqEUNuhs3l3OZtIwY2KohgXgCG5sCSGY1aLWvKvdySqrRpAcwfyni1ETEhpKtic6NSaeBVmPGUMgKf3QEggAMhfSwGXgyRKWxtc2BP57KlyN6DyKbU07UzYbqCEhMlSLOn7H1h5NejEcSuGVTJzQsQzxnzVYz/AntnBdzJzz7IEPG6qYL0esN472JEK5f0wKDRl2GlVIty0rK59VkzFN8LJRIwxOZxHpXCHZjMxws56dlZDMoWfWnT6QDgL4JpQyRmTK0nFqshvxAlyxiqRAApQwRAFbYY4gkA+hq3AStWl/GVdJy4tlsDdk3dBBWXQ7RTGfdTXpwmJSgx3yBrUPFxvFsWFkNuu1mvD5oKf57aFIPi44Xg1Qa29ocGA7rIMOG4eBRqKH0a2gwVseFYaEUMbZAKSLLEJdGm82E0bAWyUwUqWy8+Lgsy+ideAeioEaPawvLEGlZadRKNvpoaKz42P7RIC7rCEElyljddFFVZJtS9dKq9TBoLLOyV1PZOAb9R2AzuOCydJZpdVQPWm1GTERn9r0cDSnfy26jcs7DzNXaxsBWDTkVUBodW4z11xz0TKWIB/IZW5tamLFVDbocZrw1bIYA5UTcn7CwNxqVzPZ2BwABo9Fm5KQMXMZ+AIDLUh1BCbN24VJESZLx7CGWIS6FmZMRp/p6eCNDCCe86HJugE5txAtHTkEQgA+tr/ypmlR9rPlsmYnwVNPk/SN+XNkVBCBiRR1NyabysRldiKYmkc1Nffec9B6AJGexisFVWmatxYwtIBRXslfHwgno1TmoMQiL3oEma085l0jLjFeKNSKTTUHKDWA8qsVq94pyL6fkiqWI8wS2Do1Not1mhMPIPk3VoNtuQjSthtmwBuGUBoksJ1lS6WxoboBGJeKNfNagWswilFSh0VQdGZ8WvVKKGJmnFPEPAx6MhRP46EaWIZ6v9gZjcTLi9BKcQtP4VU0Xwh9L4fWTXlzW6UKTxVCWdVJta7G5kZUERJJTwdXjEyfRYUvBYV4NvcZUxtVRvVDKEWWEpx2HvRPvQICIlQyu0jJrshimDXRRjsHRcBwXt4UBZLHKfSGDqzWOZ7Q1YihwBKKQw+4hGy5oqvypXUutOBUxmpz1nD+Wwkgojk2tbBxfLbodSiArhavw0O8vgFXPengqHZ1ahQ1NNrzanyr2DRmcNBQDRpXuTBlbLENcOm02I8YjMycjZnJpDPgOwqSzoaVhFV58bwSSLOPmDe3lXCrVsI4GCzwxDbK5IGRZBgBohF4AwNb2y8q5NKojhczBQjliMDYOf3QEbfY1MGqt5Vwa1QGNSoQM5TgLJZSMrdFQAju6lKqdlW72eKt1DGzViBOefQCAQ55GNNfhHWGnMd9jK56e9VyxvxbLEKtGp125uzwYTMAXk2DTs3E8lda2dgeSWQlG/RoAwNCkAdoqyW4y6/LN4+fosSVJcnEa4vs5ne+8dTSYppUiKifSQ/7DyORSWOm+EKIg4oUjpwCAgS1aNl12M8YjOohCGslMFNFUAqsdXsQyWrQ715R7eVQnbMZ8YCsfVChkrrKvEZWKy2yGP64pBldjKR9WOxNosa2CWc/rwFpXHWfptKB4OoyxyT6cCBjRaHbVZZqlUauGXq1CYI5SxEJga1MLM7aqRSFj68j4JCRZhrVKMmWodmxvcwIAJuIrcMTjxt5RR9V8tk5lbM0ObL0x4MVoOIGPbOxgGeISaG8wIpxSIStpihlbxTJE94VIZXN46dgoVjotdZlNTaXRaTdN9ZZJeLG7fw9M2hwi6e66GyZE5VPIcA4lvMhJWZzw7INObUK7Y12ZV0b1osVqwGhEh0QmgnQ2iWaTcmNpdfPFZV4ZlQLPamvASe8ByJDx5pAVa931meorCAKcJh18sdmliAdHJwEAm1mKWDW68hlbhab/DQZmbFFpbWtX+mntH43j2fe6kcxUTzlsMWNrjlLEZw6yDHEptduMAASEUkZEkgGEEl6Mh/rRZO2B1eDEq30TiKayuHlDe9UERqn6OIxaBBNKtn4o4cWQX8nid9k2lXNZVGfMugaoRDXCcR+GA0eRysaw0r0VKpFTrak0Wm0GjOf7XgZj41jv8iCZVaPTWX+D1eoRA1s1oN+zH4CIt0dsWOuqz8AWADSadPDH5i5F1KpErKnjfVNtzDoNGk06HPOGAQA2ZmxRiW1uaYAoCNg3HEA0lYVRXT1flzq1CJUoIHZaKaIkyfivA4OwG7TYubqlTKurLVa9BmadGp6oDpKcw77BXwOYKr1hGSKVgiAIEEWlzGY02AdBHkGf34Bt7fU3TIjKRxBEWPWNCCU808oQmSlDpdNqnZpUfGj4ddj0WYxEWqAWeR1RD6rnTJ3mNBn3wB8bQUZuRTStxhp3/ZY6OI06RFIZpLO54mM5ScLh8Umsb7Kx7KbKdDvMyElKE1xmbFGpmXQarHVbsW8kiEgqA6Omej4/BEGAWaueVYr45iDLEJeaIAhotxlxMqhkJAz4DkKj0qGrcRNkWcYLR4ZhN2hxZY+7zCulWmfQKeXTg/5DEATgzVMObGhmTxkqLZvRjayUwXDwKJzmNthN7OVIpdNiNRTLsoeDhwEAsVxPOZdEJcQz2yrX71XSzQdCyhdHPWdsOfKTEf3T+myd8EeRyORYhliFCuWIANg8nspiW5sDkVQGqawEQxVlbAFK1mM0PbMUkdMQl0ebzYj+wFQfo+7GTdCotNg/EsRwKI4Prm+DmoFEWmattgaEkkqANZ0TEMt2QKdmfy0qrUKfLQBY5WbTeCqtVpuxWIoIAMMhHWyG1jKuiEqJZ1pVTJYl9Hv2Q6PS4a1TJggCsNplKfeyyqaxENiKTQW2Cj2aGNiqPoUG8gBgNTCFmEpve77PFoCqKkUEAItOjci0HluSJOOZA4NoMGixk9MQl1T7tMmIwFTpzVQZYkdZ1kX1pbPBhPGockH39ogVG5qZJUilVwhsiYIaK1xbyrwaqjetVgNCKTVykhLkf32wAS1WY5lXRaVSXWfqNEMsFUY0FUSXcyPenYihy26CQVO/DRqdxkLG1lSfrUOjnIhYrbrtU4GtBmZsURlsa5sW2NJUV+aDWaeZUYo4vQxRyyyOJdVuM8IT1UAQ1LAZXHBZOgEAzx8ZhkYl4gNr2c+Mll+n3YThkDLk4vUB+4zPL6JSKZQedjVugE7DgAKVVqu1MNDFAlkWsftUA1ptPA7rRf1GQWqASWfDzvV/Cb2mBeORF3DD2vpOtXTmM7amT0Y8OJbP2Gphn4lq0+WYVorIjC0qg63TLgyrrhRRq0Yik0NOkqASRZYhLqP2BiNysghRexN2rl8NQRBwKhjDvpEArl/TAisD81QCnXYTnj/qwoFxC477TTM+v4hKxW5qxnXr/w9cFmaqUum5zDqoRAEv96/GtjYTImkPWq2Gci+LSqS6ztRpBkEQ0OG4ACeDyl35te767a8FTAW2ppciHhoLosmih9vCD7VqM70Ukc3jqRwaDFqscCrHoVEtlHk1Z8ekU+5bxdJZZRriwSE0GLS4jmWIS669QQnCj4bNsBqUBt7//e4wAODDLEOkEumymxFNq3HEY4YgAFvYgoHKpN2xltlaVBYqUUSLxYBjPqAvoFz7tbIUsW4wsFUDjnnCABjYKpQiBvLN40OJNAYCMZYhVik2j6dKUCjnqbpSRK2S5RhNZbF70IuRUJxliMukPV/mMByKFx97/ogS2LppQ3tZ1kT1p9VqgEpUAvCrnBZY9Mx0JqL602ozYDSUwGgoDpUowGXWnflFVBMY2KoBx70hAPU9ERGYXoqoBLYOj08CADYzsFWVzDpNcSCAjSfoVCaFBvLV1jzenM/YiqazeOYgyxCXU3tDPrA1GQMAhJNpvNI3jq2tdnROC9ATLSe1SkRbPsjKMkQiqlctViPSOQlHxifRbDFAJVbX+RudO/5P14CpjC1bmVdSXqdPRSz019rUyv5a1apQjsjAFpXLTevb0WwxYGNjdZUzFwJb4WQG/3WAZYjLyW7QwqBRFTO2fnVsDJmcxGmIVHKFTGc2jieielXoqRVKZthfq86weXwNOOYJw6xT1/2bt1CKWMjYOjSqZGyxz0T1uu+qdTgwGoRJx8AWlcfGFjtGvvqn2LNnT7mXclYKpYi/7R3DcCiOv7hoBcsQl4kgCGi3GTE8qQS2XsiXId7MMkQqsY58v7dt7QxsEVF9mj4FsaXOr43rDQNbVS4nSej1hbGxuQGCUF3NjZeaVa+BWhSKPbYOjQWhFgWsq/NMtmr2iQtX4BMXlnsVRNXHkg8G//itEwBYhrjc2huM6O2bQDydxYvvDaPVaiiWsRKVyl9evBKpbA5X9rjLvRQiorKYHsyaHuSi2sfAVpUbCsaQykpYU+f9tQDlrrnTpIM/loIkyTg4FsQ6tw06ZikQUZ0plCIe84Zh02tw/ZqWMq+otrXZlEyZ/zwwiEA8jb+5fE3d32yi0rtuTQuu43udiOrY9CmI9V7NVG/YY6vKHWV/rRmcRh18sRQGglFEU1lsamF/LSKqPybd1H2rD3Ma4rLryDeQf+KNYwBYhkhERFQOrbapYFaLlRlb9YSBrSp33FsIbDFjC1AmI04m09g3EgAAbGZ/LSKqQ4UeWwDLEEuhLR/YemvID7NOjfezUT8REVHJzcjYsjFjq54wsFXlpiYiMrAFKIEtWQZ+f2ICALCphYEtIqo/hVJEK8sQS6J9Wh+PG9a2sgSeiIioDBxGLbQqJcTB5vH1hYGtKnfcGwIArG5kYAuYmoz4St84AGZsEVF9cuQ/Cz+8oYNBlhJoz/fYAliGSEREVC6CIBQztVpZilhX2Dy+yh31hNFlN8Go5X8lMBXYOjIegsOoZdNAIqpLF7Y78P0/uwwfZpClJNrzpYiiIOCD69rKvBoiIqL6tc5tQzSVLV4XUn1gNKSKhZNpjIUTLDOZptE09QG2ucXOqVREVJcEQcBfXba63MuoG40mHdptRmxsaUCjWV/u5RAREdWtJz9+BSKpDESR14H1hIGtKuaNpgCwj9R0jumBLZYhEhFRCQiCgH0P3ASdih0eiIiIyqnJYkCThVU79YaBrSq2wmnG//vU+3BFt7vcS6kY01NOGfAjIqJScbDkgYiIiKgsaiqw9S//8i84cOAABEHAgw8+iM2bN5d7SctKEATcvKGj3MuoKI3M2CIiIiIiIiKqGzUT2HrrrbcwODiIX/ziFzhx4gQefPBB/OIXvyj3sqjEnPnAligIWN9kK/NqiIiIiIiIiGg51UwziDfffBPXXXcdAGDlypUIhUKIRqNlXhWVWqEUcXWjhZMiiYiIiIiIiGpczQS2fD4f7Pap0jOHwwGv11vGFVE5OIw6XL+mBXdetKLcSyEiIiIiIiKiZVazKS2yLJ9xm8OHD5dgJVP27NlT0t9Xr/75IjuANPf3HLhPiM4d3z9UbjwGqdx4DFIl4HFIVHnK/b6smcCW2+2Gz+cr/tvj8cDlci34mo0bN0KnK80Uoz179uDCCy8sye8imguPQaJzx/cPlRuPQSo3HoNUCXgcElWe09+XqVSq5ElENVOKuGPHDrz00ksAgCNHjsDtdsNsNpd5VUREREREREREtFxqJmNr+/bt2LBhAz7+8Y9DEAR85StfKfeSiIiIiIiIiIhoGdVMYAsAHnjggXIvgYiIiIiIiIiISqRmShGJiIiIiIiIiKi+MLBFRERERERERERViYEtIiIiIiIiIiKqSgxsERERERERERFRVWJgi4iIiIiIiIiIqhIDW0REREREREREVJUY2CIiIiIiIiIioqrEwBYREREREREREVUlBraIiIiIiIiIiKgqMbBFRERERERERERViYEtIiIiIiIiIiKqSgxsERERERERERFRVWJgi4iIiIiIiIiIqhIDW0REREREREREVJUY2CIiIiIiIiIioqrEwBYREREREREREVUlBraIiIiIiIiIiKgqMbBFRERERERERERVSV3uBZSDLMsAgHQ6XdLfm0qlSvr7iE7HY5Do3PH9Q+XGY5DKjccgVQIeh0SVZ/r7shBnKcRdSkGQS/nbKkQkEsHx48fLvQwiIiIiIiIiopqzZs0aWCyWkvyuugxsSZKEWCwGjUYDQRDKvRwiIiIiIiIioqonyzIymQxMJhNEsTTdr+oysEVERERERERERNWPzeOJiIiIiIiIiKgqMbBFRERERERERERViYEtIiIiIiIiIiKqSgxsERERERERERFRVVKXewGV4Jvf/Cb27NmDbDaLv/mbv8GmTZvwD//wD8jlcnC5XPjXf/1XaLVavPjii3jyySchiiIuv/xyfO5zn0Mmk8EXv/hFjI6OQqVS4aGHHkJHR8eMnz/fNpFIBJ/73OcQCoXQ1NSExx57DFqtdsZrJUnCY489hmeeeQa7d+8GAAwPD+Pmm2/Gxo0bAQB2ux3f+c53SrOzaNlU8nF49OhRfO1rX4MoirBarXj00UdhMBjwk5/8BC+88AJkWcatt96KT3ziE6XcZUQAyvPeaW1txSc/+cniNh6PB7fccgvuvvvuGa9944038Nhjj0GlUuHqq6/GPffcAwA4fvw4PvOZz+CTn/wk7rjjjmXfR7T8qu04jMVi+MIXvoBQKIRMJoN77rkHV111VSl2FS2TSj4GU6kUvvzlL6O3txfPPvssAOCPf/wj7r//fqxevRqAMhb+n/7pn5Z3J9Gyq+TjcPfu3XjssccgiiJ6enrwz//8zxBFcdaab7jhhlLsKqKSKdd15ksvvYQnn3wSGo0GTU1NeOihh2ZdZy7ZubJc59588035r/7qr2RZluVAICBfc8018he/+EX5xRdflGVZlh999FH53//93+V4PC5fe+21ciQSkSVJRCeRlQAAC2lJREFUkv/0T/9U7u3tlZ999ln5q1/9qizLsvzaa6/J999//6zfMd82jzzyiPyjH/1IlmVZ/u53vysfOHBg1msff/xx+ac//al8ySWXFB87deqUfMsttyzdTqCyq/Tj8BOf+ETx8Ycfflj+6U9/Kg8NDckf/vCH5UwmI6dSKfnaa6+Vw+Hw0u4YojMo53tnurvuukseHR2d9fif/MmfyKOjo3Iul5Nvu+02ube3V47FYvIdd9wh79q1S37qqaeWbF9Q+VTjcfjUU0/J3/rWt2RZluXx8XH5Ax/4wNLsDCqLSj8Gv/a1r8k/+tGPZpy/7t69W7733nvP/4+nilHpx+H1118vj42NybIsy/fee6/86quvzrlmolpSzvfllVdeWbw+3LVrl/zf//3fs167VOfKdV+KePHFF+Pb3/42AMBqtSKRSOCPf/wjdu7cCQC49tpr8eabb8JgMOD555+H2WyGIAhoaGjA5OQk3nzzTVx//fUAgCuuuAJ79+6d9Tvm2+aVV17BzTffDAD47Gc/i82bN8967R133MEsmDpQ6cfhE088UXzc4XBgcnISbW1t+NnPfga1Wg2tVgu9Xo9oNLrEe4ZoYeV87xS88cYb6O7uRktLy4zHT506BZvNhpaWFoiiiGuuuQZvvvkmtFotfvjDH8Ltdi/5/qDyqMbj0G63Y3JyEgAQDodht9uXdqdQSVXyMQgAn/vc53Ddddct6d9MlafSj8Nnn30Wzc3NAJTz2WAwOOeac7ncEu0RovIr5/uyoaEB4XAYwNznGkt5rlz3gS2VSgWj0QgAeOaZZ3D11VcjkUgUU+ScTie8Xi8AwGw2AwCOHTuGkZERbNmyBT6fDw6HAwAgiiIEQUA6nZ7xO+bbxufz4emnn8btt9+OL3/5y7NeN/13ns7n8+G+++7Dxz/+cTz//PNLsCeonKrlOIzH43juuedw4403QhRFmEwmAMDrr78Ou90+50kE0XIq53un4N/+7d/wF3/xF7PW5vV6i68DlJNor9cLtVoNvV6/VLuAKkA1Hocf+tCHMDo6iuuvvx533HEHvvCFLyzV7qAyqORjcPrvPF1fXx/uvvtu3HbbbfjDH/5wrn8+VYhqOQ49Hg/+8Ic/4JprrplzzSqVakn2B1ElKOf7cteuXbjllluwc+dOSJKEK664YsbrlvJcue4DWwUvv/wynnnmGXz5y1+e8bgsyzP+PTAwgAceeACPPvooNBrNrJ9z+vZzKWyTSqWwY8cO/OxnP4MkSfjP//zPRa21oaEB999/Px599FF873vfw7e//W14PJ5FvZYqWyUfh/F4HJ/+9KfxqU99CitXriw+vn//fjzyyCP41re+dcbfSbRcyvHeAYCJiQnE43F0dnae48qpllTTcfjcc8+htbUVv/71r/GTn/wEX/va1xb9Wqpc1XQMdnd347Of/Swef/xxPPLII/jSl7405801qj6VfBz6/X7cfffd+MpXvjIje2S+NRPVinK8L7/xjW/gmWeewcsvvwxRFPGb3/zmPP6ChTGwBeC1117DE088gR/+8IewWCwwGo1IJpMAlA/IQgrc+Pg47rnnHjz88MO44IILAABut7sY4cxkMpBlGZIk4c4778Sdd96JV199dc5ttFotWlpasG3bNgDAjh070Nvbi1//+tfF186XBms2m/Gxj30MGo0GDocDGzduRH9//7LuI1p+lXwcZrNZfOYzn8FNN92EW2+9tbjmo0ePYteuXXj88ceZrUVlU673DgD87ne/w2WXXVZcy89+9jPceeeduO++++B2u+Hz+YrPTV8L1Z5qOw737t2LK6+8EgCwbt06eDwelt9UuUo9BufT1NSED37wgxAEAZ2dnWhsbMTExMTS7xgqqUo+DqPRKP76r/8af/u3f1v8/JtrzUS1phzvy0IJYmdnJwRBwOWXX47Dhw8v27ly3U9FjEQi+OY3v4kf//jHaGhoAKDUhb700kv4yEc+gl/96lfFKUFf+tKX8NWvfhUbNmwovn7Hjh345S9/iauuugqvvPIKLr30Uuj1ejz11FMzfsfp2wDApZdeit27d+Oyyy7DkSNH0NPTg+uvv75Ynzqf3bt345VXXsE//uM/Ih6P4+jRo+jp6VnqXUMlVOnH4eOPP45LLrkEf/Znf1Z8LJfL4cEHH8R3vvMdtLe3L+v+IZpPOd87AHDo0CFce+21xX/ffvvtuP3224v/jkajGB4eRnNzM1555RVmNtaoajwO0+k0Dhw4gA984AMYGRmByWRi+U0Vq/RjcC7PP/88vF4v7rrrLni9Xvj9fjQ1NS3J/qDyqPTj8OGHH8Zf/uVf4uqrr15wzUS1pFzvS7vdjlAohEAgAIfDgUOHDuHiiy/GRz/60WU5VxbkxeSS1bBf/OIX+O53vzsjMPTwww9j165dSKVSaG1txUMPPYTh4WF89KMfndFY+5Of/CTe9773YdeuXRgYGIBWq8XDDz88K3Mll8vNuU0gEMADDzyAZDKJxsZGPPzww8X614Kvf/3rOH78OPbu3Yvt27fj/e9/P+68807s2rULJ0+eRC6Xw2233YaPfexjy7ujaFlV+nF45ZVXor29vZiOeumll2Lr1q34/Oc/j7Vr1xa3+/u///s5m88TLZdyvncA4O6778anP/1pbNmyZc71vf3228Uv6BtuuAF33XUXDh8+jEceeQQjIyNQq9VoamrCd7/7XZ5QV7FqPA5jsRgefPBB+P1+ZLNZ3H///bj88suXetdQiVT6MXjfffdhfHwcvb292LhxI/78z/8c1157LR544AGEw2FkMhl89rOfxTXXXLMMe4dKpZKPw0QigYsvvrhYpQAAN910EwDMWvMjjzyC1tbWpdkpRGVWzvflyy+/jB/84AfQarVob2/H17/+9VnljUt1rlz3gS0iIiIiIiIiIqpO7LFFRERERERERERViYEtIiIiIiIiIiKqSgxsERERERERERFRVWJgi4iIiIiIiIiIqhIDW0REREREREREVJXU5V4AERERUT0aHh7GjTfeWBw/n8lkcNFFF+Gee+6BwWCY93XPPfccPvKRj5RqmUREREQVjRlbRERERGXicDjw1FNP4amnnsJPfvITxGIx/N3f/d282+dyOXzve98r4QqJiIiIKhsDW0REREQVQKfT4cEHH8TRo0fR29uLe++9F3feeSduvfVW/OAHPwAAPPjggxgZGcGnPvUpAMCLL76I22+/HbfddhvuueceBIPBcv4JRERERCXHwBYRERFRhdBoNNi4cSNeeeUV7Ny5E0899RR+/vOf4/vf/z6i0SjuvfdeOBwOPPnkkxgbG8MTTzyBH//4x3j66adxySWX4Pvf/365/wQiIiKikmKPLSIiIqIKEolE4HK5sGfPHvz85z+HRqNBKpXC5OTkjO327dsHr9eLu+66CwCQTqfR3t5ejiUTERERlQ0DW0REREQVIpFI4L333sMll1yCdDqNp59+GoIg4NJLL521rVarxebNm5mlRURERHWNpYhEREREFSCTyeAb3/gGduzYAb/fj5UrV0IQBPzmN79BMplEOp2GKIrIZrMAgE2bNuHgwYPwer0AgP/93//Fyy+/XM4/gYiIiKjkBFmW5XIvgoiIiKjeDA8P48Ybb8S2bduQy+UQDoexY8cOfP7zn0d/fz8+//nPw+VyYefOnejt7cW7776L//iP/8Ctt94KtVqNn/70p/jtb3+LJ598EgaDAXq9Ho888ggaGxvL/acRERERlQwDW0REREREREREVJVYikhERERERERERFWJgS0iIiIiIiIiIqpKDGwREREREREREVFVYmCLiIiIiIiIiIiqEgNbRERERERERERUlRjYIiIiIiIiIiKiqsTAFhERERERERERVSUGtoiIiIiIiIiIqCr9f383YuzArl/rAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TI864pAXCRqI",
        "colab_type": "text"
      },
      "source": [
        "Introducing a new metric, SMAPE - this works really well when there are a lot of 0's in the data - like this one. Please note, 0 is not a missing value"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ofNoqfhAWlsj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def calc_smape(y_hat, y):\n",
        "        return 100/len(y) * np.sum(2 * np.abs(y_hat - y) / (np.abs(y) + np.abs(y_hat)))\n"
      ],
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1innmkebCPwn",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "d66e0cbc-6f0c-432f-9d91-a2801ea4557d"
      },
      "source": [
        "calc_smape(test['sale_dollars'].values,unseen_predictions['Label'].values)"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "78.31078994510081"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hcrc0OUdCezq",
        "colab_type": "text"
      },
      "source": [
        "We will consider 78.3 as our baseline SMAPE "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ucb1692uCnPa",
        "colab_type": "text"
      },
      "source": [
        "## Blending Models\n",
        "We will now create a blend model using four algorithms, huber, random forest, xgboost and lightgbm"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "auWCWPD1RJOV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#huber = create_model('huber', verbose = False)\n",
        "rf = create_model('rf', verbose = False)\n",
        "lightgbm = create_model('lightgbm', verbose = False)\n",
        "xgb = create_model('xgboost',verbose=False)\n"
      ],
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1Wuh06ZZc5x6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 292,
          "referenced_widgets": [
            "d895c9fc343641e78aa92389880f7df5",
            "3dbefe6edba64e1896335a8e743b6c7f",
            "e51c625ae253409dbb5e4d001a8f2267",
            "ef5a88c7e4ef4c57a61865b6ac7996a8",
            "6bd7926964404537beac298835857861",
            "134db3d23e6e4eb8b84e9e87db30b6b9",
            "97ed6d6cb2bf481ab396e214f30a1635",
            "fd23b88b2f4149d2adccd0693c9f7d1a",
            "6b45ba04086f4a208f17db9c96277fdf",
            "1b3083c1b17a4a3cbbb0202142b8e593",
            "f5e95438c1d1498b8590421fe26065a6",
            "b3d482acf10e4aa380970a4d77cb3a52"
          ]
        },
        "outputId": "dd7fa321-9133-4c75-9b4d-051cbba52930"
      },
      "source": [
        "tuned_rf = tune_model(rf)\n",
        "tuned_huber = tune_model(huber)\n",
        "tuned_lightgbm = tune_model(lightgbm)\n",
        "tuned_xgb = tune_model(xgb)"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row7_col1\" class=\"data row7 col1\" >240928405.1008</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row7_col2\" class=\"data row7 col2\" >15521.8686</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row7_col3\" class=\"data row7 col3\" >0.9124</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row7_col4\" class=\"data row7 col4\" >2.1513</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row7_col5\" class=\"data row7 col5\" >8.1955</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row8_col0\" class=\"data row8 col0\" >14011.3135</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row8_col1\" class=\"data row8 col1\" >355327621.4132</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row8_col2\" class=\"data row8 col2\" >18850.1358</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row8_col3\" class=\"data row8 col3\" >0.8897</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row8_col4\" class=\"data row8 col4\" >2.0924</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row8_col5\" class=\"data row8 col5\" >35.1778</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row9_col0\" class=\"data row9 col0\" >21220.0470</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row9_col1\" class=\"data row9 col1\" >952218812.1188</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row9_col2\" class=\"data row9 col2\" >30858.0429</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row9_col3\" class=\"data row9 col3\" >0.7549</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row9_col4\" class=\"data row9 col4\" >1.3684</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row9_col5\" class=\"data row9 col5\" >4.9820</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >Mean</th>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row10_col0\" class=\"data row10 col0\" >21922.6967</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row10_col1\" class=\"data row10 col1\" >1166291706.6317</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row10_col2\" class=\"data row10 col2\" >32532.0802</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row10_col3\" class=\"data row10 col3\" >0.5514</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row10_col4\" class=\"data row10 col4\" >1.5802</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row10_col5\" class=\"data row10 col5\" >7.4932</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >SD</th>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row11_col0\" class=\"data row11 col0\" >6376.3570</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row11_col1\" class=\"data row11 col1\" >631089607.8990</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row11_col2\" class=\"data row11 col2\" >10390.1620</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row11_col3\" class=\"data row11 col3\" >0.2797</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row11_col4\" class=\"data row11 col4\" >0.3795</td>\n",
              "                        <td id=\"T_9b8d76d2_e1d8_11ea_a39b_0242ac1c0002row11_col5\" class=\"data row11 col5\" >9.7712</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f4aa7b722b0>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4m9PKmv1gieh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 376
        },
        "outputId": "310b5295-464a-4d46-a74b-f022bdfe0551"
      },
      "source": [
        "plot_model(tuned_huber)"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SAwngrt3Dz5m",
        "colab_type": "text"
      },
      "source": [
        "The below script will just blend all the four models in to one - the time savings are phenomenal"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tkvnGBfdTrGr",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 292,
          "referenced_widgets": [
            "b55cc85d024843eaa9bb5c2851e5e5b0",
            "0222b1b298c047e389f7475901bad635",
            "00a73ea3bb85411c979a72ff1ef88855"
          ]
        },
        "outputId": "06364d18-6a9f-4874-c63a-76c5c6ad1552"
      },
      "source": [
        "blend_specific = blend_models(estimator_list = [tuned_rf,tuned_lightgbm,tuned_xgb,tuned_huber])"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
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              "        }    #T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row10_col1 {\n",
              "            background:  yellow;\n",
              "        }    #T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row10_col2 {\n",
              "            background:  yellow;\n",
              "        }    #T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row10_col3 {\n",
              "            background:  yellow;\n",
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              "        }</style><table id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >MAE</th>        <th class=\"col_heading level0 col1\" >MSE</th>        <th class=\"col_heading level0 col2\" >RMSE</th>        <th class=\"col_heading level0 col3\" >R2</th>        <th class=\"col_heading level0 col4\" >RMSLE</th>        <th class=\"col_heading level0 col5\" >MAPE</th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row0_col0\" class=\"data row0 col0\" >26273.0689</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row0_col1\" class=\"data row0 col1\" >2123700307.0776</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row0_col2\" class=\"data row0 col2\" >46083.6230</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.2414</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row0_col4\" class=\"data row0 col4\" >1.5490</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row0_col5\" class=\"data row0 col5\" >1.9877</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row1_col0\" class=\"data row1 col0\" >19837.2453</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row1_col1\" class=\"data row1 col1\" >1133550913.4282</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row1_col2\" class=\"data row1 col2\" >33668.2479</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row1_col3\" class=\"data row1 col3\" >0.3616</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row1_col4\" class=\"data row1 col4\" >1.8145</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row1_col5\" class=\"data row1 col5\" >8.1207</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row2_col0\" class=\"data row2 col0\" >23571.7193</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row2_col1\" class=\"data row2 col1\" >1107879591.3639</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row2_col2\" class=\"data row2 col2\" >33284.8252</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.6910</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row2_col4\" class=\"data row2 col4\" >1.3199</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row2_col5\" class=\"data row2 col5\" >4.6199</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row3_col0\" class=\"data row3 col0\" >24291.6852</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row3_col1\" class=\"data row3 col1\" >1290276880.1814</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row3_col2\" class=\"data row3 col2\" >35920.4243</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row3_col3\" class=\"data row3 col3\" >0.5489</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row3_col4\" class=\"data row3 col4\" >1.2278</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row3_col5\" class=\"data row3 col5\" >3.9043</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row4_col0\" class=\"data row4 col0\" >15501.2957</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row4_col1\" class=\"data row4 col1\" >507780986.5664</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row4_col2\" class=\"data row4 col2\" >22533.9962</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row4_col3\" class=\"data row4 col3\" >0.8292</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row4_col4\" class=\"data row4 col4\" >0.5135</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row4_col5\" class=\"data row4 col5\" >0.3012</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row5_col0\" class=\"data row5 col0\" >20724.9844</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row5_col1\" class=\"data row5 col1\" >1196060866.1864</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row5_col2\" class=\"data row5 col2\" >34584.1129</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row5_col3\" class=\"data row5 col3\" >0.4795</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row5_col4\" class=\"data row5 col4\" >1.2372</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row5_col5\" class=\"data row5 col5\" >2.2119</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row6_col0\" class=\"data row6 col0\" >30832.8317</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row6_col1\" class=\"data row6 col1\" >1721788508.9333</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row6_col2\" class=\"data row6 col2\" >41494.4395</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.2183</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row6_col4\" class=\"data row6 col4\" >1.1698</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row6_col5\" class=\"data row6 col5\" >2.0790</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row7_col0\" class=\"data row7 col0\" >10463.0900</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row7_col1\" class=\"data row7 col1\" >221820014.4671</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row7_col2\" class=\"data row7 col2\" >14893.6233</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row7_col3\" class=\"data row7 col3\" >0.9194</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row7_col4\" class=\"data row7 col4\" >2.1726</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row7_col5\" class=\"data row7 col5\" >11.6417</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row8_col0\" class=\"data row8 col0\" >14531.6365</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row8_col1\" class=\"data row8 col1\" >395795499.5931</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row8_col2\" class=\"data row8 col2\" >19894.6098</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row8_col3\" class=\"data row8 col3\" >0.8771</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row8_col4\" class=\"data row8 col4\" >2.0696</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row8_col5\" class=\"data row8 col5\" >27.9784</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row9_col0\" class=\"data row9 col0\" >23860.4352</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row9_col1\" class=\"data row9 col1\" >1212252856.1683</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row9_col2\" class=\"data row9 col2\" >34817.4217</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row9_col3\" class=\"data row9 col3\" >0.6880</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row9_col4\" class=\"data row9 col4\" >1.2720</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row9_col5\" class=\"data row9 col5\" >3.8714</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >Mean</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row10_col0\" class=\"data row10 col0\" >20988.7992</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row10_col1\" class=\"data row10 col1\" >1091090642.3966</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row10_col2\" class=\"data row10 col2\" >31717.5324</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row10_col3\" class=\"data row10 col3\" >0.5855</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row10_col4\" class=\"data row10 col4\" >1.4346</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row10_col5\" class=\"data row10 col5\" >6.6716</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >SD</th>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row11_col0\" class=\"data row11 col0\" >5784.8870</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row11_col1\" class=\"data row11 col1\" >557748900.8410</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row11_col2\" class=\"data row11 col2\" >9224.3581</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row11_col3\" class=\"data row11 col3\" >0.2436</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row11_col4\" class=\"data row11 col4\" >0.4632</td>\n",
              "                        <td id=\"T_b3f1cb6a_e1d8_11ea_a39b_0242ac1c0002row11_col5\" class=\"data row11 col5\" >7.7717</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f4aa7e0a940>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6gjtmrgjUGSE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "outputId": "ad925eb1-bf42-4f3d-d662-907c96e59c99"
      },
      "source": [
        "predict_model(blend_specific);"
      ],
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Model</th>\n",
              "      <th>MAE</th>\n",
              "      <th>MSE</th>\n",
              "      <th>RMSE</th>\n",
              "      <th>R2</th>\n",
              "      <th>RMSLE</th>\n",
              "      <th>MAPE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Voting Regressor</td>\n",
              "      <td>22782.1274</td>\n",
              "      <td>1.257876e+09</td>\n",
              "      <td>35466.5436</td>\n",
              "      <td>0.5603</td>\n",
              "      <td>1.5146</td>\n",
              "      <td>0    7.618574\n",
              "dtype: float64</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              Model         MAE           MSE        RMSE      R2   RMSLE  \\\n",
              "0  Voting Regressor  22782.1274  1.257876e+09  35466.5436  0.5603  1.5146   \n",
              "\n",
              "                           MAPE  \n",
              "0  0    7.618574\n",
              "dtype: float64  "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fF1esVyJUExv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "final_model = finalize_model(blend_specific)"
      ],
      "execution_count": 64,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "exxFJKhDUGBv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "ed7dc17a-a7a0-43a4-f184-7051746b37ff"
      },
      "source": [
        "unseen_predictions_2 = predict_model(final_model, data=test, round=0)\n",
        "unseen_predictions_2.loc[unseen_predictions_2['Label'] < 0, 'Label'] = 0\n",
        "unseen_predictions_2.head()"
      ],
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>dayofweek</th>\n",
              "      <th>quarter</th>\n",
              "      <th>month</th>\n",
              "      <th>year</th>\n",
              "      <th>dayofyear</th>\n",
              "      <th>dayofmonth</th>\n",
              "      <th>weekofyear</th>\n",
              "      <th>flag</th>\n",
              "      <th>sale_dollars</th>\n",
              "      <th>Label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>168</td>\n",
              "      <td>16</td>\n",
              "      <td>25</td>\n",
              "      <td>1</td>\n",
              "      <td>1376.22</td>\n",
              "      <td>5256.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>170</td>\n",
              "      <td>18</td>\n",
              "      <td>25</td>\n",
              "      <td>1</td>\n",
              "      <td>77424.58</td>\n",
              "      <td>53005.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>171</td>\n",
              "      <td>19</td>\n",
              "      <td>25</td>\n",
              "      <td>1</td>\n",
              "      <td>226.68</td>\n",
              "      <td>5157.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>174</td>\n",
              "      <td>22</td>\n",
              "      <td>26</td>\n",
              "      <td>1</td>\n",
              "      <td>97385.87</td>\n",
              "      <td>58606.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>176</td>\n",
              "      <td>24</td>\n",
              "      <td>26</td>\n",
              "      <td>1</td>\n",
              "      <td>3810.90</td>\n",
              "      <td>7859.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   dayofweek  quarter  month  year  dayofyear  dayofmonth  weekofyear  flag  \\\n",
              "0          1        2      6  2020        168          16          25     1   \n",
              "1          3        2      6  2020        170          18          25     1   \n",
              "2          4        2      6  2020        171          19          25     1   \n",
              "3          0        2      6  2020        174          22          26     1   \n",
              "4          2        2      6  2020        176          24          26     1   \n",
              "\n",
              "   sale_dollars    Label  \n",
              "0       1376.22   5256.0  \n",
              "1      77424.58  53005.0  \n",
              "2        226.68   5157.0  \n",
              "3      97385.87  58606.0  \n",
              "4       3810.90   7859.0  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BMYv_OMwUFhN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        },
        "outputId": "b83d6493-f9e8-44d3-c254-e10da4a181ff"
      },
      "source": [
        "plt.figure(figsize=(20,5))\n",
        "plot_series(test.index, test['sale_dollars'],\"True\")\n",
        "plot_series(test.index, unseen_predictions_2['Label'],'Blend')\n"
      ],
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sru6fAMrWnSN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "363bc012-0f30-46b9-e18e-6e165063948d"
      },
      "source": [
        "calc_smape(test['sale_dollars'].values,unseen_predictions_2['Label'].values)"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "59.45794210582072"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ebE92ZFGFuEL",
        "colab_type": "text"
      },
      "source": [
        "The blend model is a major improvment over the baseline model."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-T5E2_VQF1Zt",
        "colab_type": "text"
      },
      "source": [
        "## Stacking\n",
        "Let's try one more technique, stacking and see if it improves our results"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NHslO6ficCto",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "stack_1 = stack_models([tuned_rf,tuned_xgb, tuned_lightgbm])\n",
        "predict_model(stack_1);\n",
        "final_stack_1 = finalize_model(stack_1)\n",
        "unseen_predictions_3 = predict_model(final_stack_1, data=test, round=0)\n",
        "\n"
      ],
      "execution_count": 69,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kfrbaM4OHPEc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "outputId": "6611e55e-ef80-4a1e-be0d-0c4465b4cf16"
      },
      "source": [
        "unseen_predictions_3.loc[unseen_predictions_3['Label'] < 0, 'Label'] = 0\n",
        "unseen_predictions_3.head(4)"
      ],
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>dayofweek</th>\n",
              "      <th>quarter</th>\n",
              "      <th>month</th>\n",
              "      <th>year</th>\n",
              "      <th>dayofyear</th>\n",
              "      <th>dayofmonth</th>\n",
              "      <th>weekofyear</th>\n",
              "      <th>flag</th>\n",
              "      <th>sale_dollars</th>\n",
              "      <th>Label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>168</td>\n",
              "      <td>16</td>\n",
              "      <td>25</td>\n",
              "      <td>1</td>\n",
              "      <td>1376.22</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>170</td>\n",
              "      <td>18</td>\n",
              "      <td>25</td>\n",
              "      <td>1</td>\n",
              "      <td>77424.58</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>171</td>\n",
              "      <td>19</td>\n",
              "      <td>25</td>\n",
              "      <td>1</td>\n",
              "      <td>226.68</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2020</td>\n",
              "      <td>174</td>\n",
              "      <td>22</td>\n",
              "      <td>26</td>\n",
              "      <td>1</td>\n",
              "      <td>97385.87</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   dayofweek  quarter  month  year  dayofyear  dayofmonth  weekofyear  flag  \\\n",
              "0          1        2      6  2020        168          16          25     1   \n",
              "1          3        2      6  2020        170          18          25     1   \n",
              "2          4        2      6  2020        171          19          25     1   \n",
              "3          0        2      6  2020        174          22          26     1   \n",
              "\n",
              "   sale_dollars  Label  \n",
              "0       1376.22    0.0  \n",
              "1      77424.58    0.0  \n",
              "2        226.68    0.0  \n",
              "3      97385.87    0.0  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fX5cIpwrcjkh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "d0dffad4-9c12-4f5c-f308-b1d07af27183"
      },
      "source": [
        "calc_smape(test['sale_dollars'].values,unseen_predictions_3['Label'].values)"
      ],
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "130.67629844844575"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v-3MxDSZGcS2",
        "colab_type": "text"
      },
      "source": [
        "Stacking definitely did not improve the model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q6_iG787HAhY",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        },
        "outputId": "4cbe513f-af9d-4dac-9ca4-45dc180d364d"
      },
      "source": [
        "plt.figure(figsize=(20,5))\n",
        "plot_series(test.index, test['sale_dollars'],\"True\")\n",
        "plot_series(test.index, unseen_predictions['Label'],'Baseline')\n",
        "plot_series(test.index, unseen_predictions_2['Label'],'Blend')\n",
        "plot_series(test.index, unseen_predictions_3['Label'],'Stacking')"
      ],
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TKOmyM1cGgK6",
        "colab_type": "text"
      },
      "source": [
        "#Next Steps\n",
        "The model isn't complete as yet - we can always go back to create a combination of new models + features "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cnZDDXFkkxV6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}
